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:
Suite à des voyages au Brésil, elle y observe l'importance de l'élément religieux dans la structuration des identités et décide de travailler dans ce domaine.
Postion	Tokenization
1	Suite
2	à
3	des
4	voyages
5	au
6	à
7	le
8	Brésil
9	,
10	elle
11	y
12	observe
13	l'
14	importance
15	de
16	l'
17	élément
18	religieux
19	dans
20	la
21	structuration
22	des
23	de
24	les
25	identités
26	et
27	décide
28	de
29	travailler
30	dans
31	ce
32	domaine
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Suite	NOUN	4	case
2	à	ADP	1	fixed
3	des	DET	4	det
4	voyages	NOUN	11	obl:mod
5	au	_	None	_
6	à	ADP	7	case
7	le	DET	7	det
8	Brésil	PROPN	4	nmod
9	,	PUNCT	4	punct
10	elle	PRON	11	nsubj
11	y	PRON	11	obl:mod
12	observe	VERB	0	root
13	l'	DET	13	det
14	importance	NOUN	11	obj
15	de	ADP	16	case
16	l'	DET	16	det
17	élément	NOUN	13	nmod
18	religieux	ADJ	16	amod
19	dans	ADP	20	case
20	la	DET	20	det
21	structuration	NOUN	13	nmod
22	des	_	None	_
23	de	ADP	23	case
24	les	DET	23	det
25	identités	NOUN	20	nmod
26	et	CCONJ	25	cc
27	décide	VERB	11	conj
28	de	ADP	27	mark
29	travailler	VERB	25	xcomp:obj
30	dans	ADP	30	case
31	ce	DET	30	det
32	domaine	NOUN	27	obl:arg
33	.	PUNCT	11	punct