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:
Il contient des informations à jour sur les résultats d'audience et financiers, les contacts professionnels (agents, dirigeants de sociétés) et les projets en cours de développement.
Postion	Tokenization
1	Il
2	contient
3	des
4	informations
5	à
6	jour
7	sur
8	les
9	résultats
10	d'
11	audience
12	et
13	financiers
14	,
15	les
16	contacts
17	professionnels
18	(
19	agents
20	,
21	dirigeants
22	de
23	sociétés
24	)
25	et
26	les
27	projets
28	en
29	cours
30	de
31	développement
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	contient	VERB	0	root
3	des	DET	4	det
4	informations	NOUN	2	obj
5	à	ADP	6	case
6	jour	NOUN	4	nmod
7	sur	ADP	9	case
8	les	DET	9	det
9	résultats	NOUN	4	nmod
10	d'	ADP	11	case
11	audience	NOUN	9	nmod
12	et	CCONJ	13	cc
13	financiers	ADJ	11	conj
14	,	PUNCT	16	punct
15	les	DET	16	det
16	contacts	NOUN	9	conj
17	professionnels	ADJ	16	amod
18	(	PUNCT	19	punct
19	agents	NOUN	16	appos
20	,	PUNCT	21	punct
21	dirigeants	NOUN	19	conj
22	de	ADP	23	case
23	sociétés	NOUN	21	nmod
24	)	PUNCT	19	punct
25	et	CCONJ	27	cc
26	les	DET	27	det
27	projets	NOUN	9	conj
28	en	ADP	29	case
29	cours	NOUN	27	nmod
30	de	ADP	31	case
31	développement	NOUN	29	nmod
32	.	PUNCT	2	punct