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:
Ceux qui ont l'air gentil, comme Sylvain, ne le sont que par obligation, car c'est la loi du plus fort qui règne dans l'entreprise.
Postion	Tokenization
1	Ceux
2	qui
3	ont
4	l'
5	air
6	gentil
7	,
8	comme
9	Sylvain
10	,
11	ne
12	le
13	sont
14	que
15	par
16	obligation
17	,
18	car
19	c'
20	est
21	la
22	loi
23	du
24	de
25	le
26	plus
27	fort
28	qui
29	règne
30	dans
31	l'
32	entreprise
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Ceux	PRON	12	nsubj
2	qui	PRON	3	nsubj
3	ont	VERB	1	acl:relcl
4	l'	DET	5	det
5	air	NOUN	3	obj
6	gentil	ADJ	5	amod
7	,	PUNCT	9	punct
8	comme	ADP	9	case
9	Sylvain	PROPN	1	nmod
10	,	PUNCT	9	punct
11	ne	ADV	12	advmod
12	le	PRON	0	root
13	sont	AUX	12	cop
14	que	ADV	16	advmod
15	par	ADP	16	case
16	obligation	NOUN	12	obl:mod
17	,	PUNCT	18	punct
18	car	CCONJ	22	cc
19	c'	PRON	22	expl:subj
20	est	AUX	22	cop
21	la	DET	22	det
22	loi	NOUN	12	conj
23	du	_	None	_
24	de	ADP	26	case
25	le	DET	26	det
26	plus	ADV	26	advmod
27	fort	NOUN	22	nmod
28	qui	PRON	28	nsubj
29	règne	VERB	22	advcl:cleft
30	dans	ADP	31	case
31	l'	DET	31	det
32	entreprise	NOUN	28	obl:mod
33	.	PUNCT	12	punct