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'utilisation d'un plugin maven pour la partie collecte de données permet, en effet, d'utiliser tous les moteurs d'intégration continue pour automatiser le lancement des analyses.
Postion	Tokenization
1	L'
2	utilisation
3	d'
4	un
5	plugin
6	maven
7	pour
8	la
9	partie
10	collecte
11	de
12	données
13	permet
14	,
15	en
16	effet
17	,
18	d'
19	utiliser
20	tous
21	les
22	moteurs
23	d'
24	intégration
25	continue
26	pour
27	automatiser
28	le
29	lancement
30	des
31	de
32	les
33	analyses
34	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	utilisation	NOUN	13	nsubj
3	d'	ADP	5	case
4	un	DET	5	det
5	plugin	NOUN	2	nmod
6	maven	PROPN	5	appos
7	pour	ADP	9	case
8	la	DET	9	det
9	partie	NOUN	2	nmod
10	collecte	NOUN	9	appos
11	de	ADP	12	case
12	données	NOUN	10	nmod
13	permet	VERB	0	root
14	,	PUNCT	15	punct
15	en	ADP	13	advmod
16	effet	NOUN	15	fixed
17	,	PUNCT	19	punct
18	d'	ADP	19	mark
19	utiliser	VERB	13	xcomp:obj
20	tous	ADJ	22	amod
21	les	DET	22	det
22	moteurs	NOUN	19	obj
23	d'	ADP	24	case
24	intégration	NOUN	22	nmod
25	continue	ADJ	24	amod
26	pour	ADP	27	mark
27	automatiser	VERB	19	advcl
28	le	DET	29	det
29	lancement	NOUN	27	obj
30	des	_	None	_
31	de	ADP	32	case
32	les	DET	32	det
33	analyses	NOUN	29	nmod
34	.	PUNCT	13	punct