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:
La gestion et l'exploitation de la salle de concert Wagram, récemment rénovée, sera assurée par Eurosites, leader en France de la location de salles.
Postion	Tokenization
1	La
2	gestion
3	et
4	l'
5	exploitation
6	de
7	la
8	salle
9	de
10	concert
11	Wagram
12	,
13	récemment
14	rénovée
15	,
16	sera
17	assurée
18	par
19	Eurosites
20	,
21	leader
22	en
23	France
24	de
25	la
26	location
27	de
28	salles
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	gestion	NOUN	17	nsubj:pass
3	et	CCONJ	5	cc
4	l'	DET	5	det
5	exploitation	NOUN	2	conj
6	de	ADP	8	case
7	la	DET	8	det
8	salle	NOUN	2	nmod
9	de	ADP	10	case
10	concert	NOUN	8	nmod
11	Wagram	PROPN	8	appos
12	,	PUNCT	14	punct
13	récemment	ADV	14	advmod
14	rénovée	VERB	8	acl
15	,	PUNCT	2	punct
16	sera	AUX	17	aux:pass
17	assurée	VERB	0	root
18	par	ADP	19	case
19	Eurosites	PROPN	17	obl:agent
20	,	PUNCT	21	punct
21	leader	NOUN	19	appos
22	en	ADP	23	case
23	France	PROPN	21	nmod
24	de	ADP	26	case
25	la	DET	26	det
26	location	NOUN	21	nmod
27	de	ADP	28	case
28	salles	NOUN	26	nmod
29	.	PUNCT	17	punct