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'idée est de soutenir ces grands noms de la mécanique et de l'électromécanique en participant notamment à tout ce qui peut, dans leur environnement, favoriser leur fonctionnement et leur attache au territoire.
Postion	Tokenization
1	L'
2	idée
3	est
4	de
5	soutenir
6	ces
7	grands
8	noms
9	de
10	la
11	mécanique
12	et
13	de
14	l'
15	électromécanique
16	en
17	participant
18	notamment
19	à
20	tout
21	ce
22	qui
23	peut
24	,
25	dans
26	leur
27	environnement
28	,
29	favoriser
30	leur
31	fonctionnement
32	et
33	leur
34	attache
35	au
36	à
37	le
38	territoire
39	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	idée	NOUN	3	nsubj
3	est	VERB	0	root
4	de	ADP	5	mark
5	soutenir	VERB	3	ccomp:pred
6	ces	DET	8	det
7	grands	ADJ	8	amod
8	noms	NOUN	5	obj
9	de	ADP	11	case
10	la	DET	11	det
11	mécanique	NOUN	8	nmod
12	et	CCONJ	15	cc
13	de	ADP	15	case
14	l'	DET	15	det
15	électromécanique	NOUN	11	conj
16	en	ADP	17	mark
17	participant	VERB	5	advcl
18	notamment	ADV	17	advmod
19	à	ADP	21	case
20	tout	DET	21	det
21	ce	PRON	17	obl:arg
22	qui	PRON	23	nsubj
23	peut	VERB	21	acl:relcl
24	,	PUNCT	29	punct
25	dans	ADP	27	case
26	leur	DET	27	det
27	environnement	NOUN	29	obl:mod
28	,	PUNCT	27	punct
29	favoriser	VERB	23	xcomp:obj
30	leur	DET	31	det
31	fonctionnement	NOUN	29	obj
32	et	CCONJ	34	cc
33	leur	DET	34	det
34	attache	NOUN	31	conj
35	au	_	None	_
36	à	ADP	37	case
37	le	DET	37	det
38	territoire	NOUN	34	nmod
39	.	PUNCT	3	punct