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:
Le graphique suivant présente l'évolution du nombre d'utilisateurs (en millions) de Facebook dans le monde, d'après les chiffres donnés dans la salle de presse du site.
Postion	Tokenization
1	Le
2	graphique
3	suivant
4	présente
5	l'
6	évolution
7	du
8	de
9	le
10	nombre
11	d'
12	utilisateurs
13	(
14	en
15	millions
16	)
17	de
18	Facebook
19	dans
20	le
21	monde
22	,
23	d'
24	après
25	les
26	chiffres
27	donnés
28	dans
29	la
30	salle
31	de
32	presse
33	du
34	de
35	le
36	site
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	graphique	NOUN	4	nsubj
3	suivant	ADJ	2	amod
4	présente	VERB	0	root
5	l'	DET	6	det
6	évolution	NOUN	4	obj
7	du	_	None	_
8	de	ADP	9	case
9	le	DET	9	det
10	nombre	NOUN	6	nmod
11	d'	ADP	11	case
12	utilisateurs	NOUN	9	nmod
13	(	PUNCT	14	punct
14	en	ADP	14	case
15	millions	NOUN	9	nmod
16	)	PUNCT	14	punct
17	de	ADP	17	case
18	Facebook	PROPN	11	nmod
19	dans	ADP	20	case
20	le	DET	20	det
21	monde	NOUN	11	nmod
22	,	PUNCT	25	punct
23	d'	ADP	25	case
24	après	ADP	22	fixed
25	les	DET	25	det
26	chiffres	NOUN	4	obl:mod
27	donnés	VERB	25	acl
28	dans	ADP	29	case
29	la	DET	29	det
30	salle	NOUN	26	obl:mod
31	de	ADP	31	case
32	presse	NOUN	29	nmod
33	du	_	None	_
34	de	ADP	34	case
35	le	DET	34	det
36	site	NOUN	31	nmod
37	.	PUNCT	4	punct