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:
Bien qu'il soit attendu que 90% des visiteurs rejoignent le site en transports en commun, le projet comprend un parking de 500 places.
Postion	Tokenization
1	Bien
2	qu'
3	il
4	soit
5	attendu
6	que
7	90
8	%
9	des
10	de
11	les
12	visiteurs
13	rejoignent
14	le
15	site
16	en
17	transports
18	en
19	commun
20	,
21	le
22	projet
23	comprend
24	un
25	parking
26	de
27	500
28	places
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Bien	ADV	5	mark
2	qu'	SCONJ	1	fixed
3	il	PRON	5	expl:subj
4	soit	AUX	5	aux:pass
5	attendu	VERB	22	advcl
6	que	SCONJ	12	mark
7	90	NUM	8	nummod
8	%	SYM	12	nsubj
9	des	_	None	_
10	de	ADP	11	case
11	les	DET	11	det
12	visiteurs	NOUN	8	nmod
13	rejoignent	VERB	5	csubj:pass
14	le	DET	14	det
15	site	NOUN	12	obj
16	en	ADP	16	case
17	transports	NOUN	12	obl:mod
18	en	ADP	16	advmod
19	commun	ADJ	17	fixed
20	,	PUNCT	5	punct
21	le	DET	21	det
22	projet	NOUN	22	nsubj
23	comprend	VERB	0	root
24	un	DET	24	det
25	parking	NOUN	22	obj
26	de	ADP	27	case
27	500	NUM	27	nummod
28	places	NOUN	24	nmod
29	.	PUNCT	22	punct