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:
Les modèles sont centrés soit sur l'utilisateur, soit sur l'interaction entre l'utilisateur et le système (approche plus holistique).
Postion	Tokenization
1	Les
2	modèles
3	sont
4	centrés
5	soit
6	sur
7	l'
8	utilisateur
9	,
10	soit
11	sur
12	l'
13	interaction
14	entre
15	l'
16	utilisateur
17	et
18	le
19	système
20	(
21	approche
22	plus
23	holistique
24	)
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	2	det
2	modèles	NOUN	4	nsubj
3	sont	AUX	4	aux:tense
4	centrés	VERB	0	root
5	soit	CCONJ	8	cc
6	sur	ADP	8	case
7	l'	DET	8	det
8	utilisateur	NOUN	4	obl:mod
9	,	PUNCT	13	punct
10	soit	CCONJ	13	cc
11	sur	ADP	13	case
12	l'	DET	13	det
13	interaction	NOUN	8	conj
14	entre	ADP	16	case
15	l'	DET	16	det
16	utilisateur	NOUN	13	nmod
17	et	CCONJ	19	cc
18	le	DET	19	det
19	système	NOUN	16	conj
20	(	PUNCT	21	punct
21	approche	NOUN	13	appos
22	plus	ADV	23	advmod
23	holistique	ADJ	21	amod
24	)	PUNCT	21	punct
25	.	PUNCT	4	punct