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:
« L'Europe a une grande responsabilité dans la pérennisation du conflit parce qu'elle ferme les yeux et participe au pillage des ressources naturelles du territoire.
Postion	Tokenization
1	«
2	L'
3	Europe
4	a
5	une
6	grande
7	responsabilité
8	dans
9	la
10	pérennisation
11	du
12	de
13	le
14	conflit
15	parce
16	qu'
17	elle
18	ferme
19	les
20	yeux
21	et
22	participe
23	au
24	à
25	le
26	pillage
27	des
28	de
29	les
30	ressources
31	naturelles
32	du
33	de
34	le
35	territoire
36	.
Position	Tokenization	UPOS	Head	Deprel
1	«	PUNCT	4	punct
2	L'	DET	3	det
3	Europe	PROPN	4	nsubj
4	a	VERB	0	root
5	une	DET	7	det
6	grande	ADJ	7	amod
7	responsabilité	NOUN	4	obj
8	dans	ADP	10	case
9	la	DET	10	det
10	pérennisation	NOUN	4	obl:mod
11	du	_	None	_
12	de	ADP	13	case
13	le	DET	13	det
14	conflit	NOUN	10	nmod
15	parce	ADV	17	mark
16	qu'	SCONJ	14	fixed
17	elle	PRON	17	nsubj
18	ferme	VERB	4	advcl
19	les	DET	19	det
20	yeux	NOUN	17	obj
21	et	CCONJ	21	cc
22	participe	VERB	17	conj
23	au	_	None	_
24	à	ADP	24	case
25	le	DET	24	det
26	pillage	NOUN	21	obl:arg
27	des	_	None	_
28	de	ADP	27	case
29	les	DET	27	det
30	ressources	NOUN	24	nmod
31	naturelles	ADJ	27	amod
32	du	_	None	_
33	de	ADP	31	case
34	le	DET	31	det
35	territoire	NOUN	24	nmod
36	.	PUNCT	4	punct