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 tokenized text:
Parmi ces 74 individus, 29 sont formellement identifiés par leur nom dans un rapport classé du Pentagone dont le New York Times s'est procuré une copie.
Postion	Tokenization
1	Parmi
2	ces
3	74
4	individus
5	,
6	29
7	sont
8	formellement
9	identifiés
10	par
11	leur
12	nom
13	dans
14	un
15	rapport
16	classé
17	du
18	de
19	le
20	Pentagone
21	dont
22	le
23	New
24	York
25	Times
26	s'
27	est
28	procuré
29	une
30	copie
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Parmi	ADP	4	case
2	ces	DET	4	det
3	74	NUM	4	nummod
4	individus	NOUN	9	obl:mod
5	,	PUNCT	4	punct
6	29	NUM	9	nsubj
7	sont	AUX	9	aux:tense
8	formellement	ADV	9	advmod
9	identifiés	VERB	0	root
10	par	ADP	12	case
11	leur	DET	12	det
12	nom	NOUN	9	obl:arg
13	dans	ADP	15	case
14	un	DET	15	det
15	rapport	NOUN	9	obl:mod
16	classé	VERB	15	acl
17	du	_	None	_
18	de	ADP	19	case
19	le	DET	19	det
20	Pentagone	PROPN	15	nmod
21	dont	PRON	29	nmod
22	le	DET	22	det
23	New	PROPN	27	nsubj
24	York	PROPN	22	flat:name
25	Times	PROPN	23	flat:name
26	s'	PRON	27	obl:arg
27	est	AUX	27	aux:tense
28	procuré	VERB	15	acl:relcl
29	une	DET	29	det
30	copie	NOUN	27	obj
31	.	PUNCT	9	punct