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anhnv125

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ud_alpaca

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As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім благім словам памянуў цёмную ноч і тое няладнае кола, што прымусіла яго блукаць немаведама дзе, мо’ нават ужо ў тыле ворага.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 4 nsubj 2 благім ADJ 3 amod 3 словам NOUN 4 iobj 4 памянуў VERB 0 root 5 цёмную ADJ 6 amod 6 ноч NOUN 4 obj 7 і CCONJ 10 cc 8 тое DET 10 det 9 няладнае ADJ 10 amod 10 кола NOUN 6 conj 11 , PUNCT 13 punct 12 што PRON 13 nsubj 13 прымусіла VERB 10 acl:relcl 14 яго PRON 13 obj 15 блукаць VERB 13 xcomp 16 немаведама ADV 17 advmod 17 дзе ADV 15 advmod 18 , PUNCT 23 punct 19 мо’ PART 23 advmod 20 нават PART 23 advmod 21 ужо ADV 23 advmod 22 ў ADP 23 case 23 тыле NOUN 17 conj 24 ворага NOUN 23 nmod 25 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максіму раптам стала боязна, ён хуценька ўскочыў на сваё месца і звярнуў улева.

Position Tokenization UPOS Head Deprel 1 Максіму PROPN 3 iobj 2 раптам ADV 3 advmod 3 стала VERB 0 root 4 боязна ADJ 3 xcomp 5 , PUNCT 8 punct 6 ён PRON 8 nsubj 7 хуценька ADV 8 advmod 8 ўскочыў VERB 3 conj 9 на ADP 11 case 10 сваё DET 11 det 11 месца NOUN 8 obl 12 і CCONJ 13 cc 13 звярнуў VERB 8 conj 14 улева ADV 13 advmod 15 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Але, не праехаўшы і сотні крокаў, ездавы спыніўся, падумаў і крута завярнуў назад паўз крыж, на другую дарогу.

Position Tokenization UPOS Head Deprel 1 Але CCONJ 10 cc 2 , PUNCT 4 punct 3 не PART 4 advmod 4 праехаўшы VERB 10 advcl 5 і PART 6 advmod 6 сотні NOUN 4 obj 7 крокаў NOUN 6 nmod 8 , PUNCT 4 punct 9 ездавы ADJ 10 nsubj 10 спыніўся VERB 0 root 11 , PUNCT 12 punct 12 падумаў VERB 10 conj 13 і CCONJ 15 cc 14 крута ADV 15 advmod 15 завярнуў VERB 10 conj 16 назад ADV 15 advmod 17 паўз ADP 18 case 18 крыж NOUN 15 obl 19 , PUNCT 22 punct 20 на ADP 22 case 21 другую ADJ 22 amod 22 дарогу NOUN 15 obl 23 . PUNCT 10 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Цяпер ужо было відавочна, што абознік Максім Корань заблудзіў, адстаў ад сваіх, згубіў батальён, і хто ведае, куды выедзе ў гэтай цемры на незнаёмай мясцовасці.

Position Tokenization UPOS Head Deprel 1 Цяпер ADV 4 advmod 2 ужо ADV 4 advmod 3 было AUX 4 cop 4 відавочна ADJ 0 root 5 , PUNCT 10 punct 6 што SCONJ 10 mark 7 абознік NOUN 10 nsubj 8 Максім PROPN 7 appos 9 Корань PROPN 8 flat:name 10 заблудзіў VERB 4 ccomp 11 , PUNCT 12 punct 12 адстаў VERB 10 conj 13 ад ADP 14 case 14 сваіх DET 12 obl 15 , PUNCT 16 punct 16 згубіў VERB 10 conj 17 батальён NOUN 16 obj 18 , PUNCT 21 punct 19 і CCONJ 21 cc 20 хто PRON 21 nsubj 21 ведае VERB 10 conj 22 , PUNCT 24 punct 23 куды ADV 24 advmod 24 выедзе VERB 21 ccomp 25 ў ADP 27 case 26 гэтай DET 27 det 27 цемры NOUN 24 obl 28 на ADP 30 case 29 незнаёмай ADJ 30 amod 30 мясцовасці NOUN 24 obl 31 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Зноў узнікла трывога, ды ўжо мацнейшая, чым першы раз, трывога і адчуванне страху, няўпэўненасці, калі няма яснай думкі ў галаве, а расшыраныя вочы імкнуцца пранікнуць у цемру.

Position Tokenization UPOS Head Deprel 1 Зноў ADV 2 advmod 2 узнікла VERB 0 root 3 трывога NOUN 2 nsubj 4 , PUNCT 13 punct 5 ды CCONJ 13 cc 6 ўжо ADV 7 advmod 7 мацнейшая ADJ 13 amod 8 , PUNCT 11 punct 9 чым SCONJ 11 case 10 першы ADJ 11 amod 11 раз NOUN 7 obl 12 , PUNCT 11 punct 13 трывога NOUN 3 conj 14 і CCONJ 15 cc 15 адчуванне NOUN 13 conj 16 страху NOUN 15 nmod 17 , PUNCT 18 punct 18 няўпэўненасці NOUN 16 conj 19 , PUNCT 21 punct 20 калі SCONJ 21 mark 21 няма VERB 18 acl 22 яснай ADJ 23 amod 23 думкі NOUN 21 nsubj 24 ў ADP 25 case 25 галаве NOUN 21 obl 26 , PUNCT 30 punct 27 а CCONJ 30 cc 28 расшыраныя VERB 29 amod 29 вочы NOUN 30 nsubj 30 імкнуцца VERB 21 conj 31 пранікнуць VERB 30 xcomp 32 у ADP 33 case 33 цемру NOUN 31 obl 34 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: І раптам зусім блізка наперадзе надрыўны вокліч скалануў цішыню.

Position Tokenization UPOS Head Deprel 1 І CCONJ 8 cc 2 раптам ADV 8 advmod 3 зусім ADV 4 advmod 4 блізка ADV 8 advmod 5 наперадзе ADV 8 advmod 6 надрыўны ADJ 7 amod 7 вокліч PROPN 8 nsubj 8 скалануў VERB 0 root 9 цішыню NOUN 8 obj 10 . PUNCT 8 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ад нечаканасці спалохана захраплі коні, а ў Максіма, здаецца, адарвалася сэрца і жудаснае здранцвенне на якую секунду адабрала розум і сілы.

Position Tokenization UPOS Head Deprel 1 Ад ADP 2 case 2 нечаканасці NOUN 4 obl 3 спалохана ADV 4 advmod 4 захраплі VERB 0 root 5 коні NOUN 4 nsubj 6 , PUNCT 13 punct 7 а CCONJ 13 cc 8 ў ADP 9 case 9 Максіма PROPN 13 obl 10 , PUNCT 11 punct 11 здаецца VERB 13 parataxis 12 , PUNCT 11 punct 13 адарвалася VERB 4 conj 14 сэрца NOUN 13 nsubj 15 і CCONJ 21 cc 16 жудаснае ADJ 17 amod 17 здранцвенне NOUN 21 nsubj 18 на ADP 20 case 19 якую DET 20 det 20 секунду NOUN 21 obl 21 адабрала VERB 13 conj 22 розум NOUN 21 obj 23 і CCONJ 24 cc 24 сілы NOUN 22 conj 25 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Мімаволі сама па сабе шыбанула ў голаў страшная здагадка — немцы!

Position Tokenization UPOS Head Deprel 1 Мімаволі ADV 5 advmod 2 сама ADJ 5 acl 3 па ADP 4 case 4 сабе PRON 2 nmod 5 шыбанула VERB 0 root 6 ў ADP 7 case 7 голаў NOUN 5 obl 8 страшная ADJ 9 amod 9 здагадка NOUN 5 nsubj 10 — PUNCT 11 punct 11 немцы NOUN 9 parataxis 12 ! PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: На другі такі ж вокліч Максім рвануў лейцы, — коні, адчуўшы нядобрае, паслухмяна кінуліся ўбок, але ў тое ж імгненне з цемры ўдарыла аўтаматная чарга.

Position Tokenization UPOS Head Deprel 1 На ADP 5 case 2 другі ADJ 5 amod 3 такі DET 5 det 4 ж PART 3 advmod 5 вокліч NOUN 7 obl 6 Максім PROPN 7 nsubj 7 рвануў VERB 0 root 8 лейцы NOUN 7 obj 9 , PUNCT 17 punct 10 — PUNCT 17 punct 11 коні NOUN 17 nsubj 12 , PUNCT 13 punct 13 адчуўшы VERB 17 advcl 14 нядобрае ADJ 13 obj 15 , PUNCT 13 punct 16 паслухмяна ADV 17 advmod 17 кінуліся VERB 7 parataxis 18 ўбок ADV 17 advmod 19 , PUNCT 27 punct 20 але CCONJ 27 cc 21 ў ADP 24 case 22 тое DET 24 det 23 ж PART 22 advmod 24 імгненне NOUN 27 obl 25 з ADP 26 case 26 цемры NOUN 27 obl 27 ўдарыла VERB 17 conj 28 аўтаматная ADJ 29 amod 29 чарга NOUN 27 nsubj 30 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім адчуў толькі, як, лязгнуўшы па коле, рыкашэтам зыўкнула куля.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 2 nsubj 2 адчуў VERB 0 root 3 толькі PART 2 advmod 4 , PUNCT 12 punct 5 як SCONJ 12 mark 6 , PUNCT 7 punct 7 лязгнуўшы VERB 12 advcl 8 па ADP 9 case 9 коле NOUN 7 obl 10 , PUNCT 7 punct 11 рыкашэтам NOUN 12 obl 12 зыўкнула VERB 2 ccomp 13 куля NOUN 12 nsubj 14 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Коні знянацку рвануліся, а ён, не ўтрымаўшыся на краі сядзення, нязграбна бразнуўся з брычкі.

Position Tokenization UPOS Head Deprel 1 Коні NOUN 3 nsubj 2 знянацку ADV 3 advmod 3 рвануліся VERB 0 root 4 , PUNCT 15 punct 5 а CCONJ 15 cc 6 ён PRON 15 nsubj 7 , PUNCT 9 punct 8 не PART 9 advmod 9 ўтрымаўшыся VERB 15 advcl 10 на ADP 11 case 11 краі NOUN 9 obl 12 сядзення NOUN 11 nmod 13 , PUNCT 9 punct 14 нязграбна ADV 15 advmod 15 бразнуўся VERB 3 conj 16 з ADP 17 case 17 брычкі NOUN 15 obl 18 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: «Вось і ўсё, канец!»

Position Tokenization UPOS Head Deprel 1 « PUNCT 4 punct 2 Вось PART 4 advmod 3 і PART 4 advmod 4 ўсё PRON 0 root 5 , PUNCT 6 punct 6 канец NOUN 4 conj 7 ! PUNCT 4 punct 8 » PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ні жалю, ні думкі, адно самотнае прадчуванне пагібелі ахапіла ездавога.

Position Tokenization UPOS Head Deprel 1 Ні CCONJ 2 cc 2 жалю NOUN 0 root 3 , PUNCT 5 punct 4 ні CCONJ 5 cc 5 думкі NOUN 2 conj 6 , PUNCT 11 punct 7 адно NUM 9 nummod 8 самотнае ADJ 9 amod 9 прадчуванне NOUN 11 nsubj 10 пагібелі NOUN 9 nmod 11 ахапіла VERB 2 conj 12 ездавога NOUN 11 obj 13 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Жах скаваў розум, цела апанаваў халодны панылы боль.

Position Tokenization UPOS Head Deprel 1 Жах NOUN 2 nsubj 2 скаваў VERB 0 root 3 розум NOUN 2 obj 4 , PUNCT 6 punct 5 цела NOUN 6 obj 6 апанаваў VERB 2 conj 7 халодны ADJ 9 amod 8 панылы ADJ 9 amod 9 боль NOUN 6 nsubj 10 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім не кратаўся, у смяротнай роспачы сутаргава ўпіліся ў імшыстую мякаць пожні яго вузлаватыя пальцы.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 3 nsubj 2 не PART 3 advmod 3 кратаўся VERB 0 root 4 , PUNCT 9 punct 5 у ADP 7 case 6 смяротнай ADJ 7 amod 7 роспачы NOUN 9 obl 8 сутаргава ADV 9 advmod 9 ўпіліся VERB 3 conj 10 ў ADP 12 case 11 імшыстую ADJ 12 amod 12 мякаць NOUN 9 obl 13 пожні NOUN 12 nmod 14 яго DET 16 det 15 вузлаватыя ADJ 16 amod 16 пальцы NOUN 9 nsubj 17 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Без руху з паўхвіліны Максім усёй істотай чакаў апошніх стрэлаў, якія прыкончылі б яго, але стрэлаў чамусьці не было.

Position Tokenization UPOS Head Deprel 1 Без ADP 2 case 2 руху NOUN 8 obl 3 з ADP 4 case 4 паўхвіліны NOUN 8 obl 5 Максім PROPN 8 nsubj 6 усёй DET 7 det 7 істотай NOUN 8 obl 8 чакаў VERB 0 root 9 апошніх ADJ 10 amod 10 стрэлаў NOUN 8 obj 11 , PUNCT 13 punct 12 якія PRON 13 nsubj 13 прыкончылі VERB 10 acl:relcl 14 б AUX 13 aux 15 яго PRON 13 obj 16 , PUNCT 21 punct 17 але CCONJ 21 cc 18 стрэлаў NOUN 21 nsubj 19 чамусьці ADV 21 advmod 20 не PART 21 advmod 21 было VERB 8 conj 22 . PUNCT 8 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Тады паволі пачала вяртацца развага.

Position Tokenization UPOS Head Deprel 1 Тады ADV 3 advmod 2 паволі ADV 3 advmod 3 пачала VERB 0 root 4 вяртацца VERB 3 xcomp 5 развага NOUN 3 nsubj 6 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Яшчэ не адчутае да канца нешта новае, падобнае на злосць, з’явілася ў яго настроі.

Position Tokenization UPOS Head Deprel 1 Яшчэ ADV 2 advmod 2 не PART 3 advmod 3 адчутае VERB 6 acl 4 да ADP 5 case 5 канца NOUN 3 obl 6 нешта PRON 13 nsubj 7 новае ADJ 6 amod 8 , PUNCT 9 punct 9 падобнае ADJ 6 amod 10 на ADP 11 case 11 злосць NOUN 9 obl 12 , PUNCT 9 punct 13 з’явілася VERB 0 root 14 ў ADP 16 case 15 яго DET 16 det 16 настроі NOUN 13 obl 17 . PUNCT 13 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім крануўся — моцна балела плячо і нага, але асаблівых пашкоджанняў, здаецца, не было.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 2 nsubj 2 крануўся VERB 0 root 3 — PUNCT 5 punct 4 моцна ADV 5 advmod 5 балела VERB 2 parataxis 6 плячо NOUN 5 nsubj 7 і CCONJ 8 cc 8 нага NOUN 6 conj 9 , PUNCT 17 punct 10 але CCONJ 17 cc 11 асаблівых ADJ 12 amod 12 пашкоджанняў NOUN 17 nsubj 13 , PUNCT 14 punct 14 здаецца VERB 17 parataxis 15 , PUNCT 14 punct 16 не PART 17 advmod 17 было VERB 5 conj 18 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ён хацеў ужо ўставаць, ды пачуў непадалёку таропкія крокі і цяжкае чалавечае дыханне.

Position Tokenization UPOS Head Deprel 1 Ён PRON 2 nsubj 2 хацеў VERB 0 root 3 ужо ADV 2 advmod 4 ўставаць VERB 2 xcomp 5 , PUNCT 7 punct 6 ды CCONJ 7 cc 7 пачуў VERB 2 conj 8 непадалёку ADV 7 advmod 9 таропкія ADJ 10 amod 10 крокі NOUN 7 obj 11 і CCONJ 14 cc 12 цяжкае ADJ 14 amod 13 чалавечае ADJ 14 amod 14 дыханне NOUN 10 conj 15 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: На зорным фоне відаць было, як зусім блізка, баязліва прыгнуўшыся, прабеглі ўслед коням дзве цьмяныя постаці.

Position Tokenization UPOS Head Deprel 1 На ADP 3 case 2 зорным ADJ 3 amod 3 фоне NOUN 4 obl 4 відаць VERB 0 root 5 было AUX 4 aux 6 , PUNCT 14 punct 7 як SCONJ 14 mark 8 зусім ADV 9 advmod 9 блізка ADV 14 advmod 10 , PUNCT 12 punct 11 баязліва ADV 12 advmod 12 прыгнуўшыся VERB 14 advcl 13 , PUNCT 12 punct 14 прабеглі VERB 4 ccomp 15 ўслед ADP 16 case 16 коням NOUN 14 obl 17 дзве NUM 19 nummod 18 цьмяныя ADJ 19 amod 19 постаці NOUN 14 nsubj 20 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім адразу пазнаў гэтыя ненавісныя постаці: надоўга адбіліся яны ў памяці чалавека.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 3 nsubj 2 адразу ADV 3 advmod 3 пазнаў VERB 0 root 4 гэтыя DET 6 det 5 ненавісныя ADJ 6 amod 6 постаці NOUN 3 obj 7 : PUNCT 9 punct 8 надоўга ADV 9 advmod 9 адбіліся VERB 3 parataxis 10 яны PRON 9 nsubj 11 ў ADP 12 case 12 памяці NOUN 9 obl 13 чалавека NOUN 12 nmod 14 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: «Яны ж забяруць фурманку», — шыбанула новая думка, і крыўда хлынула ў сэрца старога.

Position Tokenization UPOS Head Deprel 1 « PUNCT 4 punct 2 Яны PRON 4 nsubj 3 ж PART 2 advmod 4 забяруць VERB 0 root 5 фурманку NOUN 4 obj 6 » PUNCT 4 punct 7 , PUNCT 9 punct 8 — PUNCT 9 punct 9 шыбанула VERB 4 parataxis 10 новая ADJ 11 amod 11 думка NOUN 9 nsubj 12 , PUNCT 15 punct 13 і CCONJ 15 cc 14 крыўда NOUN 15 nsubj 15 хлынула VERB 9 conj 16 ў ADP 17 case 17 сэрца NOUN 15 obl 18 старога ADJ 17 nmod 19 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Праз нейкі час, калі крыху суняўся першы спалох, у пачуццях чалавека ўзнікла адчуванне адказнасці за свой абавязак салдата.

Position Tokenization UPOS Head Deprel 1 Праз ADP 3 case 2 нейкі DET 3 det 3 час NOUN 14 obl 4 , PUNCT 3 punct 5 калі SCONJ 7 mark 6 крыху NOUN 7 obl 7 суняўся VERB 14 advcl 8 першы ADJ 9 amod 9 спалох NOUN 7 nsubj 10 , PUNCT 7 punct 11 у ADP 12 case 12 пачуццях NOUN 14 obl 13 чалавека NOUN 12 nmod 14 ўзнікла VERB 0 root 15 адчуванне NOUN 14 nsubj 16 адказнасці NOUN 15 nmod 17 за ADP 19 case 18 свой DET 19 det 19 абавязак NOUN 16 nmod 20 салдата NOUN 19 nmod 21 . PUNCT 14 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Перамагаючы боль, ездавы павярнуўся на бок і дастаў з—за спіны вінтоўку.

Position Tokenization UPOS Head Deprel 1 Перамагаючы VERB 5 advcl 2 боль NOUN 1 obj 3 , PUNCT 1 punct 4 ездавы NOUN 5 nsubj 5 павярнуўся VERB 0 root 6 на ADP 7 case 7 бок NOUN 5 obl 8 і CCONJ 9 cc 9 дастаў NOUN 5 conj 10 з—за ADP 11 case 11 спіны NOUN 9 obl 12 вінтоўку NOUN 9 obj 13 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Рукі яго дрыжалі і ўсё не маглі зладзіць з тугім затворам, і наогул ён не ведаў, што зробіць зараз, толькі жаданне неяк супраціўляцца ўсё болей мацнела ў ім.

Position Tokenization UPOS Head Deprel 1 Рукі NOUN 3 nsubj 2 яго DET 1 det 3 дрыжалі VERB 0 root 4 і CCONJ 7 cc 5 ўсё ADV 7 advmod 6 не PART 7 advmod 7 маглі VERB 3 conj 8 зладзіць VERB 7 xcomp 9 з ADP 11 case 10 тугім ADJ 11 amod 11 затворам NOUN 8 obl 12 , PUNCT 17 punct 13 і CCONJ 17 cc 14 наогул ADV 17 advmod 15 ён PRON 17 nsubj 16 не PART 17 advmod 17 ведаў VERB 3 conj 18 , PUNCT 20 punct 19 што PRON 20 obj 20 зробіць VERB 17 ccomp 21 зараз ADV 20 advmod 22 , PUNCT 29 punct 23 толькі PART 24 advmod 24 жаданне NOUN 29 nsubj 25 неяк ADV 26 advmod 26 супраціўляцца VERB 24 nmod 27 ўсё ADV 28 advmod 28 болей ADV 29 advmod 29 мацнела VERB 17 conj 30 ў ADP 31 case 31 ім PRON 29 obl 32 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім узняўся і, згорбіўшыся, кульгаючы на правую нагу, падаўся ўслед за ворагамі.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 2 nsubj 2 узняўся VERB 0 root 3 і CCONJ 12 cc 4 , PUNCT 5 punct 5 згорбіўшыся VERB 12 advcl 6 , PUNCT 7 punct 7 кульгаючы VERB 5 conj 8 на ADP 10 case 9 правую ADJ 10 amod 10 нагу NOUN 7 obl 11 , PUNCT 7 punct 12 падаўся VERB 2 conj 13 ўслед ADV 15 advmod 14 за ADP 15 case 15 ворагамі NOUN 12 obl 16 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Зараджаную вінтоўку ён ухапіў за канец ствала і бяссільна цягнуў яе, нібы цяжкую і нязручную прыладу.

Position Tokenization UPOS Head Deprel 1 Зараджаную VERB 2 amod 2 вінтоўку NOUN 4 obj 3 ён PRON 4 nsubj 4 ухапіў VERB 0 root 5 за ADP 6 case 6 канец NOUN 4 obl 7 ствала NOUN 6 nmod 8 і CCONJ 10 cc 9 бяссільна ADV 10 advmod 10 цягнуў VERB 4 conj 11 яе PRON 10 obj 12 , PUNCT 17 punct 13 нібы SCONJ 17 case 14 цяжкую ADJ 17 amod 15 і CCONJ 16 cc 16 нязручную ADJ 14 conj 17 прыладу NOUN 10 obl 18 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Збянтэжаны і ўзрушаны здарэннем, у гарачцы хвалявання ён дрэнна ўяўляў сэнс падзей і, бадай, трапіў бы ў рукі ворагаў, калі б тыя першыя заўважылі яго.

Position Tokenization UPOS Head Deprel 1 Збянтэжаны ADJ 11 acl 2 і CCONJ 3 cc 3 ўзрушаны VERB 1 conj 4 здарэннем NOUN 3 obl:agent 5 , PUNCT 1 punct 6 у ADP 7 case 7 гарачцы NOUN 11 obl 8 хвалявання NOUN 7 nmod 9 ён PRON 11 nsubj 10 дрэнна ADV 11 advmod 11 ўяўляў VERB 0 root 12 сэнс NOUN 11 obj 13 падзей NOUN 12 nmod 14 і CCONJ 18 cc 15 , PUNCT 16 punct 16 бадай PART 18 parataxis 17 , PUNCT 16 punct 18 трапіў VERB 11 conj 19 бы AUX 18 aux 20 ў ADP 21 case 21 рукі NOUN 18 obl 22 ворагаў NOUN 21 nmod 23 , PUNCT 28 punct 24 калі SCONJ 28 mark 25 б AUX 28 aux 26 тыя DET 28 nsubj 27 першыя ADJ 28 acl 28 заўважылі VERB 18 advcl 29 яго PRON 28 obj 30 . PUNCT 11 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Але гітлераўцы, злавіўшы напалоханых коней, пэўна, рашылі, што ездавы ўцёк, і, пачакаўшы крыху, павярнулі ў свой бок.

Position Tokenization UPOS Head Deprel 1 Але CCONJ 10 cc 2 гітлераўцы NOUN 10 nsubj 3 , PUNCT 4 punct 4 злавіўшы VERB 10 advcl 5 напалоханых VERB 6 amod 6 коней NOUN 4 obj 7 , PUNCT 8 punct 8 пэўна ADV 10 advmod 9 , PUNCT 8 punct 10 рашылі VERB 0 root 11 , PUNCT 14 punct 12 што SCONJ 14 mark 13 ездавы NOUN 14 nsubj 14 ўцёк VERB 10 ccomp 15 , PUNCT 21 punct 16 і CCONJ 21 cc 17 , PUNCT 18 punct 18 пачакаўшы VERB 21 advcl 19 крыху NOUN 18 obl 20 , PUNCT 18 punct 21 павярнулі VERB 10 conj 22 ў ADP 24 case 23 свой DET 24 det 24 бок NOUN 21 obl 25 . PUNCT 10 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім тады і сустрэў іх.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 4 nsubj 2 тады ADV 4 advmod 3 і PART 4 advmod 4 сустрэў VERB 0 root 5 іх PRON 4 obj 6 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Адчуўшы спрыт і асцярогу, што раптам з’явіліся ў ім, ездавы адскочыў убок і прытуліўся да зямлі.

Position Tokenization UPOS Head Deprel 1 Адчуўшы VERB 13 advcl 2 спрыт NOUN 1 obj 3 і CCONJ 4 cc 4 асцярогу NOUN 2 conj 5 , PUNCT 8 punct 6 што PRON 8 nsubj 7 раптам ADV 8 advmod 8 з’явіліся VERB 2 acl:relcl 9 ў ADP 10 case 10 ім PRON 8 obl 11 , PUNCT 1 punct 12 ездавы NOUN 13 nsubj 13 адскочыў VERB 0 root 14 убок ADV 13 advmod 15 і CCONJ 16 cc 16 прытуліўся VERB 13 conj 17 да ADP 18 case 18 зямлі NOUN 16 obl 19 . PUNCT 13 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Зноў перад ім, непрыкмечаным, прайшлі немцы: адзін вёў за павады яго коней, а другі, што ішоў ззаду, спыніўся і пастаяў, хвіліну прыслухоўваючыся.

Position Tokenization UPOS Head Deprel 1 Зноў ADV 7 advmod 2 перад ADP 3 case 3 ім PRON 7 obl 4 , PUNCT 5 punct 5 непрыкмечаным ADJ 3 amod 6 , PUNCT 5 punct 7 прайшлі VERB 0 root 8 немцы NOUN 7 nsubj 9 : PUNCT 11 punct 10 адзін DET 11 nsubj 11 вёў VERB 7 obj 12 за ADP 13 case 13 павады NOUN 11 obl 14 яго DET 15 det 15 коней NOUN 11 obj 16 , PUNCT 24 punct 17 а CCONJ 24 cc 18 другі ADJ 24 nsubj 19 , PUNCT 21 punct 20 што DET 21 nsubj 21 ішоў VERB 18 acl:relcl 22 ззаду ADV 21 advmod 23 , PUNCT 21 punct 24 спыніўся VERB 11 conj 25 і CCONJ 26 cc 26 пастаяў VERB 24 conj 27 , PUNCT 29 punct 28 хвіліну NOUN 29 obl 29 прыслухоўваючыся VERB 26 advcl 30 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім узняў вінтоўку.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 2 nsubj 2 узняў VERB 0 root 3 вінтоўку NOUN 2 obj 4 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Яму з долу добра бачны быў варожы сілуэт, які чорным ценем засланіў край зорнага небасхілу.

Position Tokenization UPOS Head Deprel 1 Яму PRON 5 iobj 2 з ADP 3 case 3 долу NOUN 5 obl 4 добра ADV 5 advmod 5 бачны ADJ 0 root 6 быў AUX 8 cop 7 варожы ADJ 8 amod 8 сілуэт NOUN 5 nsubj 9 , PUNCT 13 punct 10 які PRON 13 nsubj 11 чорным ADJ 12 amod 12 ценем NOUN 13 obl 13 засланіў VERB 8 acl:relcl 14 край NOUN 13 obj 15 зорнага ADJ 16 amod 16 небасхілу NOUN 14 nmod 17 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім наставіў стрэльбу на ворага, але стрэліць так і не адважыўся.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 2 nsubj 2 наставіў VERB 0 root 3 стрэльбу NOUN 2 obj 4 на ADP 5 case 5 ворага ADJ 2 obl 6 , PUNCT 12 punct 7 але CCONJ 12 cc 8 стрэліць VERB 12 xcomp 9 так ADV 11 advmod 10 і PART 9 fixed 11 не PART 12 advmod 12 адважыўся VERB 2 conj 13 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: У апошняе імгненне, калі трэба было ціснуць курок, смеласць пакінула яго.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 апошняе ADJ 3 amod 3 імгненне NOUN 12 obl 4 , PUNCT 6 punct 5 калі SCONJ 6 mark 6 трэба VERB 3 acl 7 было AUX 6 aux 8 ціснуць VERB 6 csubj 9 курок NOUN 8 obj 10 , PUNCT 6 punct 11 смеласць NOUN 12 nsubj 12 пакінула VERB 0 root 13 яго PRON 12 obj 14 . PUNCT 12 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Задні гітлеравец, відаць, нічога падазронага не ўчуўшы, сказаў нешта таму, што вёў коней, і яны абодва ўзлезлі на былое Максімава месца на возе.

Position Tokenization UPOS Head Deprel 1 Задні ADJ 2 amod 2 гітлеравец NOUN 11 nsubj 3 , PUNCT 9 punct 4 відаць VERB 9 parataxis 5 , PUNCT 4 punct 6 нічога PRON 9 obj 7 падазронага ADJ 6 amod 8 не PART 9 advmod 9 ўчуўшы VERB 11 advcl 10 , PUNCT 9 punct 11 сказаў VERB 0 root 12 нешта PRON 11 obj 13 таму DET 11 iobj 14 , PUNCT 16 punct 15 што PRON 16 nsubj 16 вёў VERB 13 acl:relcl 17 коней NOUN 16 obj 18 , PUNCT 22 punct 19 і CCONJ 22 cc 20 яны PRON 22 nsubj 21 абодва NUM 20 nummod 22 ўзлезлі VERB 11 conj 23 на ADP 26 case 24 былое ADJ 26 amod 25 Максімава ADJ 26 amod 26 месца NOUN 22 obl 27 на ADP 28 case 28 возе NOUN 26 nmod 29 . PUNCT 11 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Так ворагі, коні і фурманка з ротным дабром зніклі ў начной цемры.

Position Tokenization UPOS Head Deprel 1 Так ADV 10 advmod 2 ворагі NOUN 10 nsubj 3 , PUNCT 4 punct 4 коні NOUN 2 conj 5 і CCONJ 6 cc 6 фурманка NOUN 2 conj 7 з ADP 9 case 8 ротным ADJ 9 amod 9 дабром NOUN 6 nmod 10 зніклі VERB 0 root 11 ў ADP 13 case 12 начной ADJ 13 amod 13 цемры NOUN 10 obl 14 . PUNCT 10 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Тады ездавы, абапёршыся аб дол рукамі, сеў на травяністай імшарыне побач са сваёй вінтоўкай і ўжо не спрабаваў стрымацца.

Position Tokenization UPOS Head Deprel 1 Тады ADV 9 advmod 2 ездавы NOUN 9 nsubj 3 , PUNCT 4 punct 4 абапёршыся VERB 9 advcl 5 аб ADP 6 case 6 дол NOUN 4 obl 7 рукамі NOUN 4 iobj 8 , PUNCT 4 punct 9 сеў VERB 0 root 10 на ADP 12 case 11 травяністай ADJ 12 amod 12 імшарыне NOUN 9 obl 13 побач ADV 9 advmod 14 са ADP 16 case 15 сваёй DET 16 det 16 вінтоўкай NOUN 13 obl 17 і CCONJ 20 cc 18 ўжо ADV 20 advmod 19 не PART 20 advmod 20 спрабаваў VERB 9 conj 21 стрымацца VERB 20 xcomp 22 . PUNCT 9 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Канчаткова ахапіўшая яго роспач выціснула з грудзей цяжкі, пакутлівы енк.

Position Tokenization UPOS Head Deprel 1 Канчаткова ADV 2 advmod 2 ахапіўшая VERB 4 acl 3 яго PRON 2 obj 4 роспач NOUN 5 nsubj 5 выціснула VERB 0 root 6 з ADP 7 case 7 грудзей NOUN 5 obl 8 цяжкі ADJ 11 amod 9 , PUNCT 10 punct 10 пакутлівы ADJ 11 amod 11 енк NOUN 5 obj 12 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Гэты енк, спалохаўшы ў цішы самога Максіма, нечакана абудзіў яго, прымусіў зірнуць на сябе аднекуль збоку, вачыма другога чалавека, чалавека разумнейшага ў жыцці і мацнейшага ў барацьбе.

Position Tokenization UPOS Head Deprel 1 Гэты DET 2 det 2 енк NOUN 11 nsubj 3 , PUNCT 4 punct 4 спалохаўшы VERB 11 advcl 5 ў ADP 6 case 6 цішы NOUN 4 obl 7 самога ADJ 8 amod 8 Максіма PROPN 4 obj 9 , PUNCT 4 punct 10 нечакана ADV 11 advmod 11 абудзіў VERB 0 root 12 яго PRON 11 obj 13 , PUNCT 14 punct 14 прымусіў VERB 11 conj 15 зірнуць VERB 14 xcomp 16 на ADP 17 case 17 сябе NOUN 15 obl 18 аднекуль ADV 19 advmod 19 збоку ADV 15 advmod 20 , PUNCT 21 punct 21 вачыма NOUN 15 iobj 22 другога ADJ 23 amod 23 чалавека NOUN 21 nmod 24 , PUNCT 25 punct 25 чалавека NOUN 23 conj 26 разумнейшага ADJ 25 acl 27 ў ADP 28 case 28 жыцці NOUN 26 obl 29 і CCONJ 30 cc 30 мацнейшага ADJ 26 conj 31 ў ADP 32 case 32 барацьбе NOUN 30 obl 33 . PUNCT 11 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Потым ён адчуў асуджэнне і дакор сабе, агідна бездапаможнаму ў такі рашаючы час.

Position Tokenization UPOS Head Deprel 1 Потым ADV 3 advmod 2 ён PRON 3 nsubj 3 адчуў VERB 0 root 4 асуджэнне NOUN 3 obj 5 і CCONJ 6 cc 6 дакор NOUN 4 conj 7 сабе PRON 4 nmod 8 , PUNCT 10 punct 9 агідна ADV 10 advmod 10 бездапаможнаму ADJ 7 acl 11 ў ADP 14 case 12 такі DET 14 det 13 рашаючы ADJ 14 amod 14 час NOUN 10 obl 15 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Цяжкія няўцешныя думкі, поўныя бязлітаснай насмешкі над сабой, паплылі ў немаладой яго галаве.

Position Tokenization UPOS Head Deprel 1 Цяжкія ADJ 3 amod 2 няўцешныя ADJ 3 amod 3 думкі NOUN 11 nsubj 4 , PUNCT 5 punct 5 поўныя ADJ 3 acl 6 бязлітаснай ADJ 7 amod 7 насмешкі NOUN 5 obl 8 над ADP 9 case 9 сабой PRON 7 nmod 10 , PUNCT 5 punct 11 паплылі VERB 0 root 12 ў ADP 15 case 13 немаладой ADJ 15 amod 14 яго DET 15 det 15 галаве NOUN 11 obl 16 . PUNCT 11 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Хоць і не першы раз у жыцці напаткала Максіма бяда, але гэтая была зусім іншага складу, чым усе перажытыя.

Position Tokenization UPOS Head Deprel 1 Хоць PART 8 advmod 2 і PART 8 advmod 3 не PART 5 advmod 4 першы ADJ 5 amod 5 раз NOUN 8 obl 6 у ADP 7 case 7 жыцці NOUN 5 obl 8 напаткала VERB 0 root 9 Максіма PROPN 8 obj 10 бяда NOUN 8 nsubj 11 , PUNCT 17 punct 12 але CCONJ 17 cc 13 гэтая DET 17 nsubj 14 была AUX 17 cop 15 зусім ADV 16 advmod 16 іншага ADJ 17 amod 17 складу NOUN 8 conj 18 , PUNCT 21 punct 19 чым SCONJ 21 case 20 усе DET 21 det 21 перажытыя VERB 16 obl 22 . PUNCT 8 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Яна агіднай ганьбай запляміла чалавечую яго вартасць, падсекла надзеі, дарэшты зняславіла ранейшае жыццё чалавека.

Position Tokenization UPOS Head Deprel 1 Яна PRON 4 nsubj 2 агіднай ADJ 3 amod 3 ганьбай NOUN 4 iobj 4 запляміла VERB 0 root 5 чалавечую ADJ 7 amod 6 яго DET 7 det 7 вартасць NOUN 4 obj 8 , PUNCT 9 punct 9 падсекла VERB 4 conj 10 надзеі NOUN 9 obj 11 , PUNCT 13 punct 12 дарэшты ADV 13 advmod 13 зняславіла VERB 4 conj 14 ранейшае DET 15 det 15 жыццё NOUN 13 obj 16 чалавека NOUN 15 nmod 17 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Як было пасля такога здарэння ісці ў батальён, дзе кожны дзень паміралі людзі, маладыя і больш вартыя, чым ён?

Position Tokenization UPOS Head Deprel 1 Як ADV 6 advmod 2 было AUX 6 aux 3 пасля ADP 5 case 4 такога DET 5 det 5 здарэння NOUN 6 obl 6 ісці VERB 0 root 7 ў ADP 8 case 8 батальён NOUN 6 obl 9 , PUNCT 13 punct 10 дзе ADV 13 advmod 11 кожны ADJ 12 amod 12 дзень NOUN 13 obl 13 паміралі VERB 8 acl:relcl 14 людзі NOUN 13 nsubj 15 , PUNCT 16 punct 16 маладыя ADJ 14 amod 17 і CCONJ 19 cc 18 больш ADV 19 advmod 19 вартыя ADJ 16 conj 20 , PUNCT 22 punct 21 чым SCONJ 22 case 22 ён PRON 19 obl 23 ? PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Як было жыць, калі пасля гэтага ўжо нічога не заставалася ў душы, апрача вечнай агіды да сябе?

Position Tokenization UPOS Head Deprel 1 Як ADV 3 advmod 2 было AUX 3 aux 3 жыць VERB 0 root 4 , PUNCT 11 punct 5 калі SCONJ 11 mark 6 пасля ADP 7 case 7 гэтага PRON 11 obl 8 ўжо ADV 11 advmod 9 нічога PRON 11 nsubj 10 не PART 11 advmod 11 заставалася VERB 3 advcl 12 ў ADP 13 case 13 душы NOUN 11 obl 14 , PUNCT 17 punct 15 апрача ADP 17 case 16 вечнай ADJ 17 amod 17 агіды NOUN 11 obl 18 да ADP 19 case 19 сябе PRON 17 nmod 20 ? PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Дык няўжо гэта канец?

Position Tokenization UPOS Head Deprel 1 Дык PART 4 advmod 2 няўжо PART 4 advmod 3 гэта PRON 4 nsubj 4 канец NOUN 0 root 5 ? PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Няўжо толькі пагібель з’явіцца справядлівай збаўцай ад нясцерпных пакут?

Position Tokenization UPOS Head Deprel 1 Няўжо PART 4 advmod 2 толькі PART 3 advmod 3 пагібель NOUN 4 nsubj 4 з’явіцца VERB 0 root 5 справядлівай ADJ 6 amod 6 збаўцай NOUN 4 xcomp 7 ад ADP 9 case 8 нясцерпных ADJ 9 amod 9 пакут NOUN 6 nmod 10 ? PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Чаму ж тады ён павінен так недарэчна, пагана памерці, а злачынцы-ворагі застануцца жыць і ўчыняць яшчэ не адну смерць добрым людзям.

Position Tokenization UPOS Head Deprel 1 Чаму ADV 5 advmod 2 ж PART 1 advmod 3 тады ADV 5 advmod 4 ён PRON 5 nsubj 5 павінен ADJ 0 root 6 так ADV 7 advmod 7 недарэчна ADV 10 advmod 8 , PUNCT 9 punct 9 пагана ADV 10 advmod 10 памерці VERB 5 xcomp 11 , PUNCT 16 punct 12 а CCONJ 16 cc 13 злачынцы NOUN 16 nsubj 14 - PUNCT 15 punct 15 ворагі NOUN 13 appos 16 застануцца VERB 5 conj 17 жыць VERB 16 xcomp 18 і CCONJ 19 cc 19 ўчыняць VERB 17 conj 20 яшчэ ADV 21 advmod 21 не PART 22 advmod 22 адну NUM 23 nummod 23 смерць NOUN 19 obj 24 добрым ADJ 25 amod 25 людзям NOUN 19 iobj 26 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Усвядоміўшы глыбіню сваёй бяды, ездавы зразумеў, што ёсць у ім нешта мацнейшае за звычайную чалавечую смерць.

Position Tokenization UPOS Head Deprel 1 Усвядоміўшы VERB 7 advcl 2 глыбіню NOUN 1 obj 3 сваёй DET 4 det 4 бяды NOUN 2 nmod 5 , PUNCT 1 punct 6 ездавы NOUN 7 nsubj 7 зразумеў VERB 0 root 8 , PUNCT 12 punct 9 што SCONJ 12 mark 10 ёсць AUX 12 cop 11 у ADP 12 case 12 ім PRON 7 ccomp 13 нешта PRON 12 nsubj 14 мацнейшае ADJ 13 amod 15 за ADP 18 case 16 звычайную ADJ 18 amod 17 чалавечую ADJ 18 amod 18 смерць NOUN 14 obl 19 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Пачуццё салдата паступова, але рашуча пачало браць верх, заглушыўшы ўсё іншае, асабістае, якое цяпер выявілася ў ім самым благім чынам.

Position Tokenization UPOS Head Deprel 1 Пачуццё NOUN 7 nsubj 2 салдата NOUN 1 nmod 3 паступова ADV 8 advmod 4 , PUNCT 6 punct 5 але CCONJ 6 cc 6 рашуча ADV 3 conj 7 пачало VERB 0 root 8 браць VERB 7 xcomp 9 верх NOUN 8 obj 10 , PUNCT 11 punct 11 заглушыўшы VERB 7 advcl 12 ўсё PRON 11 obj 13 іншае ADJ 12 amod 14 , PUNCT 15 punct 15 асабістае ADJ 13 conj 16 , PUNCT 19 punct 17 якое PRON 19 nsubj 18 цяпер ADV 19 advmod 19 выявілася VERB 12 acl:relcl 20 ў ADP 21 case 21 ім PRON 19 obl 22 самым ADJ 24 amod 23 благім ADJ 24 amod 24 чынам NOUN 19 obl 25 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Усё настойлівей з’яўлялася жаданне дзейнічаць, яно хутка аформілася ў намер і стала непахісным.

Position Tokenization UPOS Head Deprel 1 Усё ADV 2 advmod 2 настойлівей ADV 3 advmod 3 з’яўлялася VERB 0 root 4 жаданне NOUN 5 nsubj 5 дзейнічаць VERB 3 nmod 6 , PUNCT 9 punct 7 яно PRON 9 nsubj 8 хутка ADV 9 advmod 9 аформілася VERB 3 conj 10 ў ADP 11 case 11 намер NOUN 9 obl 12 і CCONJ 13 cc 13 стала VERB 9 conj 14 непахісным ADJ 13 xcomp 15 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: І хоць вялікі быў яшчэ маральны боль, але на сэрцы ўжо палягчэла, і памалу пачало ўзнаўляцца ранейшае адчуванне злосці.

Position Tokenization UPOS Head Deprel 1 І CCONJ 13 cc 2 хоць SCONJ 3 mark 3 вялікі ADJ 13 advcl 4 быў AUX 3 cop 5 яшчэ ADV 3 advmod 6 маральны ADJ 7 amod 7 боль NOUN 3 nsubj 8 , PUNCT 13 punct 9 але CCONJ 13 cc 10 на ADP 11 case 11 сэрцы NOUN 13 obl 12 ўжо ADV 13 advmod 13 палягчэла VERB 0 root 14 , PUNCT 17 punct 15 і CCONJ 17 cc 16 памалу ADV 17 advmod 17 пачало VERB 13 conj 18 ўзнаўляцца VERB 17 xcomp 19 ранейшае ADJ 20 amod 20 адчуванне NOUN 18 nsubj 21 злосці NOUN 20 nmod 22 . PUNCT 13 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Гэта вярнула сілы, і баец хутка ўзняўся, падхапіўшы вінтоўку.

Position Tokenization UPOS Head Deprel 1 Гэта PRON 2 nsubj 2 вярнула VERB 0 root 3 сілы NOUN 2 obj 4 , PUNCT 8 punct 5 і CCONJ 8 cc 6 баец NOUN 8 nsubj 7 хутка ADV 8 advmod 8 ўзняўся VERB 2 conj 9 , PUNCT 10 punct 10 падхапіўшы VERB 8 advcl 11 вінтоўку NOUN 10 obj 12 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Дзіўна нават было, адкуль узялося ў Максіма гэтулькі энергіі і спрыту, калі ён пусціўся наўздагон ворагам.

Position Tokenization UPOS Head Deprel 1 Дзіўна ADJ 0 root 2 нават PART 1 advmod 3 было AUX 1 cop 4 , PUNCT 6 punct 5 адкуль ADV 6 advmod 6 узялося VERB 1 csubj 7 ў ADP 8 case 8 Максіма PROPN 6 obl 9 гэтулькі NUM 10 nummod:gov 10 энергіі NOUN 6 nsubj 11 і CCONJ 12 cc 12 спрыту NOUN 10 conj 13 , PUNCT 16 punct 14 калі SCONJ 16 mark 15 ён PRON 16 nsubj 16 пусціўся VERB 6 advcl 17 наўздагон ADP 18 case 18 ворагам NOUN 16 obl 19 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Каржакаваты і нязграбны, ён шпаркім крокам сігаў па полі, то прыгінаючыся да зямлі, каб лепш бачыць наперадзе, то намагаючыся ступаць як мага хутчэй і цішэй.

Position Tokenization UPOS Head Deprel 1 Каржакаваты ADJ 8 acl 2 і CCONJ 3 cc 3 нязграбны ADJ 1 conj 4 , PUNCT 1 punct 5 ён PRON 7 nsubj 6 шпаркім ADJ 7 amod 7 крокам NOUN 8 obl 8 сігаў VERB 0 root 9 па ADP 10 case 10 полі NOUN 8 obl 11 , PUNCT 13 punct 12 то SCONJ 13 cc 13 прыгінаючыся VERB 8 advcl 14 да ADP 15 case 15 зямлі NOUN 13 obl 16 , PUNCT 19 punct 17 каб SCONJ 19 mark 18 лепш ADV 19 advmod 19 бачыць VERB 13 advcl 20 наперадзе ADV 19 advmod 21 , PUNCT 23 punct 22 то SCONJ 23 cc 23 намагаючыся VERB 13 conj 24 ступаць VERB 23 xcomp 25 як SCONJ 27 advmod 26 мага ADV 25 fixed 27 хутчэй ADV 24 advmod 28 і CCONJ 29 cc 29 цішэй ADV 27 conj 30 . PUNCT 8 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: У гэтыя хвіліны ездавы ні аб чым не думаў і нічога не адчуваў, апрача ўпартага жадання дагнаць праціўніка.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 гэтыя DET 3 det 3 хвіліны NOUN 9 obl 4 ездавы NOUN 9 nsubj 5 ні PART 7 advmod 6 аб ADP 7 case 7 чым PRON 9 obl 8 не PART 9 advmod 9 думаў VERB 0 root 10 і CCONJ 13 cc 11 нічога PRON 13 obj 12 не PART 13 advmod 13 адчуваў VERB 9 conj 14 , PUNCT 17 punct 15 апрача ADP 17 case 16 ўпартага ADJ 17 amod 17 жадання NOUN 9 obl 18 дагнаць VERB 17 nmod 19 праціўніка NOUN 18 obj 20 . PUNCT 9 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Невядома, ці доўга ён гнаўся, як пашанцавала яму не збіцца з кірунку, але нарэшце ўбачыў Максім знаёмы сілуэт сваёй фурманкі з няпрошанымі седакамі на перадку.

Position Tokenization UPOS Head Deprel 1 Невядома ADJ 0 root 2 , PUNCT 6 punct 3 ці SCONJ 6 mark 4 доўга ADV 6 advmod 5 ён PRON 6 nsubj 6 гнаўся VERB 1 ccomp 7 , PUNCT 9 punct 8 як SCONJ 9 mark 9 пашанцавала VERB 6 conj 10 яму PRON 9 iobj 11 не PART 12 advmod 12 збіцца VERB 9 xcomp 13 з ADP 14 case 14 кірунку NOUN 12 obl 15 , PUNCT 18 punct 16 але CCONJ 18 cc 17 нарэшце ADV 18 advmod 18 ўбачыў VERB 1 conj 19 Максім PROPN 18 nsubj 20 знаёмы ADJ 21 amod 21 сілуэт NOUN 18 obj 22 сваёй DET 23 det 23 фурманкі NOUN 21 nmod 24 з ADP 26 case 25 няпрошанымі ADJ 26 amod 26 седакамі NOUN 23 nmod 27 на ADP 28 case 28 перадку NOUN 26 nmod 29 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Тады ездавы, на колькі быў здольны, узброіўся хітрасцю і асцярогай, нячутна зайшоў збоку і на хаду прыблізіўся да ворагаў.

Position Tokenization UPOS Head Deprel 1 Тады ADV 9 advmod 2 ездавы NOUN 9 nsubj 3 , PUNCT 7 punct 4 на ADP 5 case 5 колькі NUM 7 obl 6 быў AUX 7 cop 7 здольны ADJ 9 advcl 8 , PUNCT 7 punct 9 узброіўся VERB 0 root 10 хітрасцю NOUN 9 iobj 11 і CCONJ 12 cc 12 асцярогай NOUN 10 conj 13 , PUNCT 15 punct 14 нячутна ADV 15 advmod 15 зайшоў VERB 9 conj 16 збоку ADV 15 advmod 17 і CCONJ 20 cc 18 на ADP 19 case 19 хаду NOUN 20 obl 20 прыблізіўся VERB 9 conj 21 да ADP 22 case 22 ворагаў NOUN 20 obl 23 . PUNCT 9 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Яго выстаўленая наперад вінтоўка амаль кранала бліжняга немца.

Position Tokenization UPOS Head Deprel 1 Яго DET 4 det 2 выстаўленая VERB 4 acl 3 наперад ADV 2 advmod 4 вінтоўка NOUN 6 nsubj 5 амаль ADV 6 advmod 6 кранала VERB 0 root 7 бліжняга ADJ 8 amod 8 немца NOUN 6 obj 9 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: У грудзях моцна білася сэрца, здавалася, вось—вось гучна вырвецца сцятае дыханне і ўсё загіне.

Position Tokenization UPOS Head Deprel 1 У ADP 2 case 2 грудзях NOUN 4 obl 3 моцна ADV 4 advmod 4 білася VERB 0 root 5 сэрца NOUN 4 nsubj 6 , PUNCT 7 punct 7 здавалася VERB 4 conj 8 , PUNCT 11 punct 9 вось—вось PART 11 advmod 10 гучна ADV 11 advmod 11 вырвецца VERB 7 parataxis 12 сцятае VERB 13 amod 13 дыханне NOUN 11 nsubj 14 і CCONJ 16 cc 15 ўсё PRON 16 nsubj 16 загіне VERB 11 conj 17 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Немаладыя ўжо сілы байца падыходзілі к канцу.

Position Tokenization UPOS Head Deprel 1 Немаладыя ADJ 3 amod 2 ўжо ADV 1 advmod 3 сілы NOUN 5 nsubj 4 байца NOUN 3 nmod 5 падыходзілі VERB 0 root 6 к ADP 7 case 7 канцу NOUN 5 obl 8 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Грымотны стрэл рускай трохлінейкі аглушыў усіх — і ворагаў, і Максіма.

Position Tokenization UPOS Head Deprel 1 Грымотны ADJ 2 amod 2 стрэл NOUN 5 nsubj 3 рускай ADJ 4 amod 4 трохлінейкі NOUN 2 nmod 5 аглушыў VERB 0 root 6 усіх PRON 5 obj 7 — PUNCT 9 punct 8 і CCONJ 9 cc 9 ворагаў NOUN 6 appos 10 , PUNCT 12 punct 11 і CCONJ 12 cc 12 Максіма PROPN 9 conj 13 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Крайні немец неяк бясшумна знік пад фурманкай, а другога Максім, дранцвеючы ад жаху, з усяе апошняй сілы выцяў вінтоўкай па галаве.

Position Tokenization UPOS Head Deprel 1 Крайні ADJ 2 amod 2 немец NOUN 5 nsubj 3 неяк ADV 4 advmod 4 бясшумна ADV 5 advmod 5 знік VERB 0 root 6 пад ADP 7 case 7 фурманкай NOUN 5 obl 8 , PUNCT 21 punct 9 а CCONJ 21 cc 10 другога ADJ 21 obj 11 Максім PROPN 21 nsubj 12 , PUNCT 13 punct 13 дранцвеючы VERB 21 advcl 14 ад ADP 15 case 15 жаху NOUN 13 obl 16 , PUNCT 13 punct 17 з ADP 20 case 18 усяе DET 20 det 19 апошняй ADJ 20 amod 20 сілы NOUN 21 obl 21 выцяў VERB 5 conj 22 вінтоўкай NOUN 21 iobj 23 па ADP 24 case 24 галаве NOUN 21 obl 25 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Далей усё пайшло з нейкім шалёным імпэтам.

Position Tokenization UPOS Head Deprel 1 Далей ADV 3 advmod 2 усё PRON 3 nsubj 3 пайшло VERB 0 root 4 з ADP 7 case 5 нейкім DET 7 det 6 шалёным ADJ 7 amod 7 імпэтам NOUN 3 obl 8 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім, падхапіўшы лейцы, вялікім паўколам завярнуў фурманку і дзікім, несваім голасам гікнуў на коней.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 8 nsubj 2 , PUNCT 3 punct 3 падхапіўшы VERB 8 advcl 4 лейцы NOUN 3 obj 5 , PUNCT 3 punct 6 вялікім ADJ 7 amod 7 паўколам NOUN 8 obl 8 завярнуў VERB 0 root 9 фурманку NOUN 8 obj 10 і CCONJ 15 cc 11 дзікім ADJ 14 amod 12 , PUNCT 13 punct 13 несваім DET 11 conj 14 голасам NOUN 15 iobj 15 гікнуў VERB 8 conj 16 на ADP 17 case 17 коней NOUN 15 obl 18 . PUNCT 8 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ім, напэўна, перадалася ўзрушанасць гаспадара, бо без пугі і новых крыкаў яны так паімчаліся ў цемры, што Максім, паўмёртвы ад перажытага, з вялікім намаганнем трымаўся на возе, які цяжка кідаўся з боку ў бок, грукацеў і падскакваў.

Position Tokenization UPOS Head Deprel 1 Ім PRON 5 iobj 2 , PUNCT 3 punct 3 напэўна ADV 5 parataxis 4 , PUNCT 3 punct 5 перадалася VERB 0 root 6 ўзрушанасць NOUN 5 nsubj 7 гаспадара NOUN 6 nmod 8 , PUNCT 17 punct 9 бо SCONJ 17 mark 10 без ADP 11 case 11 пугі NOUN 17 obl 12 і CCONJ 14 cc 13 новых ADJ 14 amod 14 крыкаў NOUN 11 conj 15 яны PRON 17 nsubj 16 так ADV 17 advmod 17 паімчаліся VERB 5 advcl 18 ў ADP 19 case 19 цемры NOUN 17 obl 20 , PUNCT 31 punct 21 што SCONJ 31 mark 22 Максім PROPN 31 nsubj 23 , PUNCT 24 punct 24 паўмёртвы NOUN 22 acl 25 ад ADP 26 case 26 перажытага NOUN 24 obl 27 , PUNCT 24 punct 28 з ADP 30 case 29 вялікім ADJ 30 amod 30 намаганнем NOUN 31 obl 31 трымаўся VERB 16 advcl 32 на ADP 33 case 33 возе NOUN 31 obl 34 , PUNCT 37 punct 35 які PRON 37 nsubj 36 цяжка ADV 37 advmod 37 кідаўся VERB 33 acl:relcl 38 з ADP 39 case 39 боку NOUN 37 obl 40 ў ADP 41 case 41 бок NOUN 39 nmod 42 , PUNCT 43 punct 43 грукацеў VERB 37 conj 44 і CCONJ 45 cc 45 падскакваў VERB 37 conj 46 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Баец зусім не ведаў, куды кіраваць, і ў выбары напрамку цалкам даверыўся коням.

Position Tokenization UPOS Head Deprel 1 Баец NOUN 4 nsubj 2 зусім ADV 4 advmod 3 не PART 4 advmod 4 ведаў VERB 0 root 5 , PUNCT 7 punct 6 куды ADV 7 advmod 7 кіраваць VERB 4 ccomp 8 , PUNCT 7 punct 9 і CCONJ 14 cc 10 ў ADP 11 case 11 выбары NOUN 14 obl 12 напрамку NOUN 11 nmod 13 цалкам ADV 14 advmod 14 даверыўся VERB 4 conj 15 коням NOUN 14 iobj 16 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: І коні імчалі без супынку, наўскасяк мяжыстых палосак шархатлівай збажыны, па глухой мякаці бульбянішчаў, пераехалі неглыбокі высахлы раўчук, асакаватую балацявінку і, нарэшце, непадалёку ад змрочнага лесу выбіліся на нейкую дарогу.

Position Tokenization UPOS Head Deprel 1 І CCONJ 3 cc 2 коні NOUN 3 nsubj 3 імчалі VERB 0 root 4 без ADP 5 case 5 супынку NOUN 3 obl 6 , PUNCT 7 punct 7 наўскасяк ADV 5 conj 8 мяжыстых ADJ 9 amod 9 палосак NOUN 3 obl 10 шархатлівай ADJ 11 amod 11 збажыны NOUN 9 nmod 12 , PUNCT 15 punct 13 па ADP 15 case 14 глухой ADJ 15 amod 15 мякаці NOUN 3 obl 16 бульбянішчаў NOUN 15 nmod 17 , PUNCT 18 punct 18 пераехалі VERB 3 conj 19 неглыбокі ADJ 21 amod 20 высахлы ADJ 21 amod 21 раўчук NOUN 18 obj 22 , PUNCT 24 punct 23 асакаватую ADJ 24 amod 24 балацявінку NOUN 21 conj 25 і CCONJ 33 cc 26 , PUNCT 27 punct 27 нарэшце ADV 33 advmod 28 , PUNCT 27 punct 29 непадалёку ADV 33 advmod 30 ад ADP 32 case 31 змрочнага ADJ 32 amod 32 лесу NOUN 29 obl 33 выбіліся VERB 3 conj 34 на ADP 36 case 35 нейкую DET 36 det 36 дарогу NOUN 33 obl 37 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Максім тады спыніў фурманку, прыслухаўся і на поўныя грудзі ўдыхнуў пасвяжэлага падранак паветра.

Position Tokenization UPOS Head Deprel 1 Максім PROPN 3 nsubj 2 тады ADV 3 advmod 3 спыніў VERB 0 root 4 фурманку NOUN 3 obj 5 , PUNCT 6 punct 6 прыслухаўся VERB 3 conj 7 і CCONJ 11 cc 8 на ADP 10 case 9 поўныя ADJ 10 amod 10 грудзі NOUN 11 obl 11 ўдыхнуў VERB 6 conj 12 пасвяжэлага ADJ 14 acl 13 падранак ADV 12 advmod 14 паветра NOUN 11 obj 15 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: У правым вуху, нібы парваная струна, тоненька звінела ад стрэлу, ва ўсім целе, схаладзелым ад ліпкага поту, з’явілася млявасць, як пасля цяжкай шматгадзіннай працы.

Position Tokenization UPOS Head Deprel 1 У ADP 3 case 2 правым ADJ 3 amod 3 вуху NOUN 10 obl 4 , PUNCT 7 punct 5 нібы PART 7 advmod 6 парваная ADJ 7 amod 7 струна NOUN 10 obl 8 , PUNCT 10 punct 9 тоненька ADV 10 advmod 10 звінела VERB 0 root 11 ад ADP 12 case 12 стрэлу NOUN 10 obl 13 , PUNCT 23 punct 14 ва ADP 16 case 15 ўсім DET 16 det 16 целе NOUN 23 obl 17 , PUNCT 18 punct 18 схаладзелым ADJ 16 acl 19 ад ADP 21 case 20 ліпкага ADJ 21 amod 21 поту NOUN 18 obl 22 , PUNCT 18 punct 23 з’явілася VERB 10 conj 24 млявасць NOUN 23 nsubj 25 , PUNCT 30 punct 26 як SCONJ 30 case 27 пасля ADP 30 case 28 цяжкай ADJ 30 amod 29 шматгадзіннай ADJ 30 amod 30 працы NOUN 23 obl 31 . PUNCT 10 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Пачынаўся досвітак.

Position Tokenization UPOS Head Deprel 1 Пачынаўся VERB 0 root 2 досвітак NOUN 1 nsubj 3 . PUNCT 1 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Змрок парадзеў, на ўсходзе святлела неба, гасячы зоры.

Position Tokenization UPOS Head Deprel 1 Змрок NOUN 2 nsubj 2 парадзеў VERB 0 root 3 , PUNCT 6 punct 4 на ADP 5 case 5 ўсходзе NOUN 6 obl 6 святлела VERB 1 conj 7 неба NOUN 6 nsubj 8 , PUNCT 9 punct 9 гасячы VERB 6 advcl 10 зоры NOUN 9 obj 11 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Наперадзе ля лесу пачуліся галасы, іх адразу пазнаў Максім — то былі свае.

Position Tokenization UPOS Head Deprel 1 Наперадзе ADV 4 advmod 2 ля ADP 3 case 3 лесу NOUN 4 obl 4 пачуліся VERB 0 root 5 галасы NOUN 4 nsubj 6 , PUNCT 9 punct 7 іх PRON 9 obj 8 адразу ADV 9 advmod 9 пазнаў VERB 4 conj 10 Максім PROPN 9 nsubj 11 — PUNCT 14 punct 12 то PRON 14 nsubj 13 былі AUX 14 cop 14 свае DET 9 parataxis 15 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Толькі тады раптоўна неяк зразумеў ездавы, якой вялікай бяды пашанцавала яму пазбыцца ўначы і як пакутліва далася яму маленькая перамога.

Position Tokenization UPOS Head Deprel 1 Толькі PART 2 advmod 2 тады ADV 5 advmod 3 раптоўна ADV 5 advmod 4 неяк ADV 5 advmod 5 зразумеў VERB 0 root 6 ездавы NOUN 5 nsubj 7 , PUNCT 11 punct 8 якой DET 10 det 9 вялікай ADJ 10 amod 10 бяды NOUN 13 obj 11 пашанцавала VERB 5 ccomp 12 яму PRON 11 iobj 13 пазбыцца VERB 11 xcomp 14 ўначы ADV 13 advmod 15 і CCONJ 18 cc 16 як ADV 17 advmod 17 пакутліва ADV 18 advmod 18 далася VERB 11 conj 19 яму PRON 18 iobj 20 маленькая ADJ 21 amod 21 перамога NOUN 18 nsubj 22 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ён парадаваўся яшчэ, што ўсе жахі тыя засталіся ззаду, і, хутка губляючы сілы, моцна захацеў спаць.

Position Tokenization UPOS Head Deprel 1 Ён PRON 2 nsubj 2 парадаваўся VERB 0 root 3 яшчэ ADV 2 advmod 4 , PUNCT 9 punct 5 што SCONJ 9 mark 6 ўсе DET 7 det 7 жахі NOUN 9 nsubj 8 тыя DET 7 det 9 засталіся VERB 2 ccomp 10 ззаду ADV 9 advmod 11 , PUNCT 19 punct 12 і CCONJ 19 cc 13 , PUNCT 15 punct 14 хутка ADV 15 advmod 15 губляючы VERB 19 advcl 16 сілы NOUN 15 obj 17 , PUNCT 15 punct 18 моцна ADV 19 advmod 19 захацеў VERB 2 conj 20 спаць VERB 19 xcomp 21 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Мабыць, упершыню так выразна адчуў чалавек, што шмат ужо год за плячыма, а за гэтую ноч прыбавілася яшчэ, — бадай, з дзесяць.

Position Tokenization UPOS Head Deprel 1 Мабыць ADV 6 parataxis 2 , PUNCT 1 punct 3 упершыню ADV 6 advmod 4 так ADV 5 advmod 5 выразна ADV 6 advmod 6 адчуў VERB 0 root 7 чалавек NOUN 6 nsubj 8 , PUNCT 14 punct 9 што SCONJ 14 mark 10 шмат ADV 12 advmod 11 ужо ADV 10 advmod 12 год NOUN 14 nsubj 13 за ADP 14 case 14 плячыма NOUN 6 ccomp 15 , PUNCT 20 punct 16 а CCONJ 20 cc 17 за ADP 19 case 18 гэтую DET 19 det 19 ноч NOUN 20 obl 20 прыбавілася VERB 14 conj 21 яшчэ ADV 20 advmod 22 , PUNCT 27 punct 23 — PUNCT 27 punct 24 бадай PART 27 parataxis 25 , PUNCT 24 punct 26 з ADP 27 case 27 дзесяць NUM 21 conj 28 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Надвячоркам у нядзелю ў бальнічнай палаце стала ціха і сумна.

Position Tokenization UPOS Head Deprel 1 Надвячоркам NOUN 7 obl 2 у ADP 3 case 3 нядзелю NOUN 1 nmod 4 ў ADP 6 case 5 бальнічнай ADJ 6 amod 6 палаце NOUN 7 obl 7 стала VERB 0 root 8 ціха ADJ 7 xcomp 9 і CCONJ 10 cc 10 сумна ADJ 8 conj 11 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Трое хворых, што некалькі дзён ляжалі тут, былі ўжо добра вядомы адзін другому.

Position Tokenization UPOS Head Deprel 1 Трое NUM 2 nummod:gov 2 хворых ADJ 13 nsubj 3 , PUNCT 7 punct 4 што PRON 7 nsubj 5 некалькі NUM 6 nummod:gov 6 дзён NOUN 7 obl 7 ляжалі VERB 2 acl:relcl 8 тут ADV 7 advmod 9 , PUNCT 7 punct 10 былі AUX 13 cop 11 ўжо ADV 12 advmod 12 добра ADV 13 advmod 13 вядомы ADJ 0 root 14 адзін NUM 13 iobj 15 другому ADJ 14 fixed 16 . PUNCT 13 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Усе ўжо ведалі, што жылісты і чорны, нібы цыган, шафёр Свірыдаў наездзіў трыста тысяч без рамонту;

Position Tokenization UPOS Head Deprel 1 Усе PRON 3 nsubj 2 ўжо ADV 3 advmod 3 ведалі VERB 0 root 4 , PUNCT 15 punct 5 што SCONJ 15 mark 6 жылісты ADJ 13 amod 7 і CCONJ 8 cc 8 чорны ADJ 6 conj 9 , PUNCT 11 punct 10 нібы SCONJ 11 case 11 цыган NOUN 8 obl 12 , PUNCT 11 punct 13 шафёр NOUN 15 nsubj 14 Свірыдаў PROPN 13 appos 15 наездзіў VERB 3 ccomp 16 трыста NOUN 17 nummod:gov 17 тысяч NOUN 15 obj 18 без ADP 19 case 19 рамонту NOUN 15 obl 20 ; PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: што дзядзька Міхась, калгаснік з дальняга раёна, перад самой хваробай вярнуўся са сталічнай нарады перадавікоў-жывёлаводаў, дзе ён першы раз у жыцці выступаў з прамовай;

Position Tokenization UPOS Head Deprel 1 што SCONJ 13 mark 2 дзядзька NOUN 13 nsubj 3 Міхась PROPN 2 appos 4 , PUNCT 5 punct 5 калгаснік NOUN 2 appos 6 з ADP 8 case 7 дальняга ADJ 8 amod 8 раёна NOUN 5 nmod 9 , PUNCT 5 punct 10 перад ADP 12 case 11 самой ADJ 12 amod 12 хваробай NOUN 13 obl 13 вярнуўся VERB 0 root 14 са ADP 16 case 15 сталічнай ADJ 16 amod 16 нарады NOUN 13 obl 17 перадавікоў NOUN 16 nmod 18 - PUNCT 19 punct 19 жывёлаводаў NOUN 17 appos 20 , PUNCT 27 punct 21 дзе ADV 27 advmod 22 ён PRON 27 nsubj 23 першы ADJ 24 amod 24 раз NOUN 27 obl 25 у ADP 26 case 26 жыцці NOUN 24 nmod 27 выступаў NOUN 16 acl:relcl 28 з ADP 29 case 29 прамовай NOUN 27 obl 30 ; PUNCT 13 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: што дыхавічны і тоўсты дырэктар скурзавода Нікадзім Іванавіч пакутваў не столькі ад сваёй язвы, колькі ад таго, што яго завод у мінулым месяцы не выканаў план.

Position Tokenization UPOS Head Deprel 1 што SCONJ 9 mark 2 дыхавічны ADJ 5 amod 3 і CCONJ 4 cc 4 тоўсты ADJ 2 conj 5 дырэктар NOUN 9 nsubj 6 скурзавода NOUN 5 nmod 7 Нікадзім PROPN 5 appos 8 Іванавіч PROPN 7 flat:name 9 пакутваў VERB 0 root 10 не PART 14 cc 11 столькі NUM 10 fixed 12 ад ADP 14 case 13 сваёй DET 14 det 14 язвы NOUN 9 obl 15 , PUNCT 18 punct 16 колькі CCONJ 18 cc 17 ад ADP 18 case 18 таго PRON 14 conj 19 , PUNCT 27 punct 20 што SCONJ 27 mark 21 яго DET 22 det 22 завод NOUN 27 nsubj 23 у ADP 25 case 24 мінулым ADJ 25 amod 25 месяцы NOUN 27 obl 26 не PART 27 advmod 27 выканаў VERB 18 acl 28 план NOUN 27 obj 29 . PUNCT 9 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Ад суму і нудоты дырэктар цяпер задрамаў з газетай у руках, шафёр чытаў «Залатое цяля», а дзядзька Міхась варочаўся ў ложку і думаў свае адвечныя сялянскія думы.

Position Tokenization UPOS Head Deprel 1 Ад ADP 2 case 2 суму NOUN 7 obl 3 і CCONJ 4 cc 4 нудоты NOUN 2 conj 5 дырэктар NOUN 7 nsubj 6 цяпер ADV 7 advmod 7 задрамаў VERB 0 root 8 з ADP 9 case 9 газетай NOUN 7 obl 10 у ADP 11 case 11 руках NOUN 9 nmod 12 , PUNCT 14 punct 13 шафёр NOUN 14 nsubj 14 чытаў VERB 7 conj 15 « PUNCT 17 punct 16 Залатое ADJ 17 amod 17 цяля NOUN 14 obj 18 » PUNCT 17 punct 19 , PUNCT 23 punct 20 а CCONJ 23 cc 21 дзядзька NOUN 23 nsubj 22 Міхась PROPN 21 appos 23 варочаўся VERB 7 conj 24 ў ADP 25 case 25 ложку NOUN 23 obl 26 і CCONJ 27 cc 27 думаў VERB 23 conj 28 свае DET 31 det 29 адвечныя ADJ 31 amod 30 сялянскія ADJ 31 amod 31 думы NOUN 27 obj 32 . PUNCT 7 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Два ложкі ў палаце пуставалі, і дзядзька Міхась раптам сказаў: — Сёння, бадай, будзе папаўненне: бальніца ж дзяжурная.

Position Tokenization UPOS Head Deprel 1 Два NUM 5 nummod 2 ложкі NOUN 5 nsubj 3 ў ADP 4 case 4 палаце NOUN 2 nmod 5 пуставалі VERB 0 root 6 , PUNCT 11 punct 7 і CCONJ 11 cc 8 дзядзька NOUN 11 nsubj 9 Міхась PROPN 8 appos 10 раптам ADV 11 advmod 11 сказаў VERB 5 conj 12 : PUNCT 14 punct 13 — PUNCT 14 punct 14 Сёння ADV 11 parataxis 15 , PUNCT 16 punct 16 бадай PART 14 parataxis 17 , PUNCT 16 punct 18 будзе AUX 14 cop 19 папаўненне NOUN 14 nsubj 20 : PUNCT 23 punct 21 бальніца NOUN 23 nsubj 22 ж PART 21 advmod 23 дзяжурная ADJ 14 parataxis 24 . PUNCT 5 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: І дзядзькавы словы спраўдзіліся.

Position Tokenization UPOS Head Deprel 1 І CCONJ 4 cc 2 дзядзькавы ADJ 3 amod 3 словы NOUN 4 nsubj 4 спраўдзіліся VERB 0 root 5 . PUNCT 4 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Не прайшло і хвіліны, як у калідоры затупацелі ногі, і на парозе з’явіўся чалавек у сінім халаце паверх бялізны.

Position Tokenization UPOS Head Deprel 1 Не PART 2 advmod 2 прайшло VERB 0 root 3 і PART 4 advmod 4 хвіліны NOUN 2 nsubj 5 , PUNCT 9 punct 6 як SCONJ 9 mark 7 у ADP 8 case 8 калідоры NOUN 9 obl 9 затупацелі VERB 2 advcl 10 ногі NOUN 9 nsubj 11 , PUNCT 15 punct 12 і CCONJ 15 cc 13 на ADP 14 case 14 парозе NOUN 15 obl 15 з’явіўся VERB 9 conj 16 чалавек NOUN 15 nsubj 17 у ADP 19 case 18 сінім ADJ 19 amod 19 халаце NOUN 16 nmod 20 паверх ADP 21 case 21 бялізны NOUN 19 nmod 22 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: За ім ішла сястра: яна паказала хвораму месца на ложку ў куце і хуценька разгарнула пасцель.

Position Tokenization UPOS Head Deprel 1 За ADP 2 case 2 ім PRON 3 obl 3 ішла VERB 0 root 4 сястра NOUN 3 nsubj 5 : PUNCT 7 punct 6 яна PRON 7 nsubj 7 паказала VERB 4 parataxis 8 хвораму NOUN 7 iobj 9 месца NOUN 7 obj 10 на ADP 11 case 11 ложку NOUN 9 nmod 12 ў ADP 13 case 13 куце NOUN 11 nmod 14 і CCONJ 16 cc 15 хуценька ADV 16 advmod 16 разгарнула VERB 7 conj 17 пасцель NOUN 16 obj 18 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Хворыя ў палаце адразу ж страцілі самоту і напоўніліся цікаўнасцю.

Position Tokenization UPOS Head Deprel 1 Хворыя NOUN 6 nsubj 2 ў ADP 3 case 3 палаце NOUN 1 nmod 4 адразу ADV 6 advmod 5 ж PART 4 advmod 6 страцілі VERB 0 root 7 самоту NOUN 6 obj 8 і CCONJ 9 cc 9 напоўніліся VERB 6 conj 10 цікаўнасцю NOUN 9 iobj 11 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Дзядзька Міхась, пэўна з ветлівасці, аж прыўзняўся на локці (навічок стаў яго суседам), шафёр загарнуў кніжку, і нават дырэктар прачнуўся.

Position Tokenization UPOS Head Deprel 1 Дзядзька PROPN 9 nsubj 2 Міхась PROPN 1 appos 3 , PUNCT 6 punct 4 пэўна ADV 6 advmod 5 з ADP 6 case 6 ветлівасці NOUN 9 obl 7 , PUNCT 6 punct 8 аж PART 9 advmod 9 прыўзняўся VERB 0 root 10 на ADP 11 case 11 локці NOUN 9 obl 12 ( PUNCT 14 punct 13 навічок NOUN 14 nsubj 14 стаў VERB 9 parataxis 15 яго DET 16 det 16 суседам NOUN 14 xcomp 17 ) PUNCT 14 punct 18 , PUNCT 20 punct 19 шафёр NOUN 20 nsubj 20 загарнуў VERB 9 conj 21 кніжку NOUN 20 obj 22 , PUNCT 26 punct 23 і CCONJ 26 cc 24 нават PART 25 advmod 25 дырэктар NOUN 26 nsubj 26 прачнуўся VERB 9 conj 27 . PUNCT 9 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Хутка сястра пайшла, а хворы, крэкчучы і стогнучы, пачаў мясціцца пад коўдрай.

Position Tokenization UPOS Head Deprel 1 Хутка ADV 3 advmod 2 сястра NOUN 3 nsubj 3 пайшла VERB 0 root 4 , PUNCT 12 punct 5 а CCONJ 12 cc 6 хворы NOUN 12 nsubj 7 , PUNCT 8 punct 8 крэкчучы VERB 12 advcl 9 і CCONJ 10 cc 10 стогнучы VERB 8 conj 11 , PUNCT 12 punct 12 пачаў VERB 3 conj 13 мясціцца VERB 12 xcomp 14 пад ADP 15 case 15 коўдрай NOUN 13 obl 16 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: — З чым гэта вы? — ветліва запытаў дзядзька Міхась.

Position Tokenization UPOS Head Deprel 1 — PUNCT 3 punct 2 З ADP 3 case 3 чым PRON 0 root 4 гэта PART 3 expl 5 вы PRON 3 nsubj 6 ? PUNCT 3 punct 7 — PUNCT 9 punct 8 ветліва ADV 9 advmod 9 запытаў VERB 3 parataxis 10 дзядзька NOUN 9 nsubj 11 Міхась PROPN 10 appos 12 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Хворы коратка бліснуў зыркімі чорнымі вачыма на маладжавым укормленым твары, аблізаў вусны і холадна кінуў у прастору палаты: — Апендыцыт.

Position Tokenization UPOS Head Deprel 1 Хворы NOUN 3 nsubj 2 коратка ADV 3 advmod 3 бліснуў VERB 0 root 4 зыркімі ADJ 6 amod 5 чорнымі ADJ 6 amod 6 вачыма NOUN 3 iobj 7 на ADP 10 case 8 маладжавым ADJ 10 amod 9 укормленым ADJ 10 amod 10 твары NOUN 3 obl 11 , PUNCT 12 punct 12 аблізаў VERB 3 conj 13 вусны NOUN 12 obj 14 і CCONJ 16 cc 15 холадна ADV 16 advmod 16 кінуў VERB 3 conj 17 у ADP 18 case 18 прастору NOUN 16 obl 19 палаты NOUN 18 nmod 20 : PUNCT 22 punct 21 — PUNCT 22 punct 22 Апендыцыт NOUN 16 parataxis 23 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: — Ну, апендыцыт — дробязь, — зазначыў дзядзька Міхась.

Position Tokenization UPOS Head Deprel 1 — PUNCT 6 punct 2 Ну PART 6 discourse 3 , PUNCT 2 punct 4 апендыцыт NOUN 6 nsubj 5 — PUNCT 6 punct 6 дробязь NOUN 0 root 7 , PUNCT 9 punct 8 — PUNCT 9 punct 9 зазначыў VERB 6 parataxis 10 дзядзька NOUN 9 nsubj 11 Міхась PROPN 10 appos 12 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: — Выражуць і не ўчуеце.

Position Tokenization UPOS Head Deprel 1 — PUNCT 2 punct 2 Выражуць VERB 0 root 3 і CCONJ 5 cc 4 не PART 5 advmod 5 ўчуеце VERB 2 conj 6 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Бы авадзень укусіць.

Position Tokenization UPOS Head Deprel 1 Бы PART 3 advmod 2 авадзень NOUN 3 nsubj 3 укусіць VERB 0 root 4 . PUNCT 3 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Хворы павярнуў на падушцы голаў і недаверліва паглядзеў на суседа.

Position Tokenization UPOS Head Deprel 1 Хворы NOUN 2 nsubj 2 павярнуў VERB 0 root 3 на ADP 4 case 4 падушцы NOUN 2 obl 5 голаў NOUN 2 obj 6 і CCONJ 8 cc 7 недаверліва ADV 8 advmod 8 паглядзеў VERB 2 conj 9 на ADP 10 case 10 суседа PROPN 8 obl 11 . PUNCT 2 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: — Апендыцыт для медыцыны ўжо дробязь.

Position Tokenization UPOS Head Deprel 1 — PUNCT 6 punct 2 Апендыцыт NOUN 6 nsubj 3 для ADP 4 case 4 медыцыны NOUN 6 obl 5 ўжо ADV 6 advmod 6 дробязь NOUN 0 root 7 . PUNCT 6 punct

As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL). Key Components of UD Annotation: 1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes. 2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work: - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence. - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation. Note: Blank lines are used to mark the boundaries between sentences. Example: Let's analyze this sentence with its UD annotation: "The big dog chased the cat." 1. Tokenization: - The - big - dog - chased - the - cat - . 2. UPOS Tags: - The: DET - big: ADJ - dog: NOUN - chased: VERB - the: DET - cat: NOUN - .: PUNCT 3. Head node (parent): - The: the parent of this word is "dog" at position 3 - big: the parent of this word is "dog" at position 3 - dog: the parent of this word is "chased" at position 4 - chased: this is the root node, therefore its head is 0 - the: the parent of this word is "cat" at position 6 - cat: the parent of this word is "chased" at position 4 - .: the parent of this word is "chased" at position 4 3. Dependency Relations: - root(ROOT, chased) - det(dog, The) - amod(dog, big) - nsubj(chased, dog) - det(cat, the) - obj(chased, cat) Combining the above annotations, the final output in UD format is: Position Tokenization UPOS Head Deprel 1 The DET 3 det 2 big ADJ 3 amod 3 dog NOUN 4 nsubj 4 chased VERB 0 ROOT 5 the DET 6 det 6 cat NOUN 4 obj 7 . PUNCT 4 punct

Generate UD annotations for the following text: Нават практыканты і тыя рэжуць добра, — казаў далей дзядзька Міхась.

Position Tokenization UPOS Head Deprel 1 Нават ADV 2 advmod 2 практыканты NOUN 4 dislocated 3 і CCONJ 4 cc 4 тыя DET 5 nsubj 5 рэжуць VERB 0 root 6 добра ADV 5 advmod 7 , PUNCT 9 punct 8 — PUNCT 9 punct 9 казаў VERB 5 parataxis 10 далей ADV 9 advmod 11 дзядзька NOUN 9 nsubj 12 Міхась PROPN 11 appos 13 . PUNCT 5 punct