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:
À noter que devant l'étendue du travail à fournir, Ray sollicitera pour l'occasion le talent d'autres animateurs avec lesquels il partagera à regret son travail.
Postion	Tokenization
1	À
2	noter
3	que
4	devant
5	l'
6	étendue
7	du
8	de
9	le
10	travail
11	à
12	fournir
13	,
14	Ray
15	sollicitera
16	pour
17	l'
18	occasion
19	le
20	talent
21	d'
22	autres
23	animateurs
24	avec
25	lesquels
26	il
27	partagera
28	à
29	regret
30	son
31	travail
32	.
Position	Tokenization	UPOS	Head	Deprel
1	À	ADP	2	mark
2	noter	VERB	0	root
3	que	SCONJ	14	mark
4	devant	ADP	6	case
5	l'	DET	6	det
6	étendue	NOUN	14	obl:mod
7	du	_	None	_
8	de	ADP	9	case
9	le	DET	9	det
10	travail	NOUN	6	nmod
11	à	ADP	11	mark
12	fournir	VERB	9	acl
13	,	PUNCT	6	punct
14	Ray	PROPN	14	nsubj
15	sollicitera	VERB	2	ccomp:obj
16	pour	ADP	17	case
17	l'	DET	17	det
18	occasion	NOUN	14	obl:mod
19	le	DET	19	det
20	talent	NOUN	14	obj
21	d'	ADP	22	case
22	autres	ADJ	22	amod
23	animateurs	NOUN	19	nmod
24	avec	ADP	24	case
25	lesquels	PRON	26	obl:arg
26	il	PRON	26	nsubj
27	partagera	VERB	22	acl:relcl
28	à	ADP	28	case
29	regret	NOUN	26	obl:mod
30	son	DET	30	det
31	travail	NOUN	26	obj
32	.	PUNCT	2	punct