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:
Entre 2009 et 2010 il participe à l'émission Got To Dance aux côtés de l'ex Pussycat Doll, Kimberly Wyatt et aux côtés de l'acteur et danseur de claquettes Adam Garcia.
Postion	Tokenization
1	Entre
2	2009
3	et
4	2010
5	il
6	participe
7	à
8	l'
9	émission
10	Got
11	To
12	Dance
13	aux
14	à
15	les
16	côtés
17	de
18	l'
19	ex
20	Pussycat
21	Doll
22	,
23	Kimberly
24	Wyatt
25	et
26	aux
27	à
28	les
29	côtés
30	de
31	l'
32	acteur
33	et
34	danseur
35	de
36	claquettes
37	Adam
38	Garcia
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	2	case
2	2009	NUM	6	obl:mod
3	et	CCONJ	4	cc
4	2010	NUM	2	conj
5	il	PRON	6	nsubj
6	participe	VERB	0	root
7	à	ADP	9	case
8	l'	DET	9	det
9	émission	NOUN	6	obl:arg
10	Got	PROPN	9	appos
11	To	PROPN	10	flat:name
12	Dance	PROPN	11	flat:name
13	aux	_	None	_
14	à	ADP	6	advmod
15	les	DET	13	fixed
16	côtés	NOUN	13	fixed
17	de	ADP	19	case
18	l'	DET	19	det
19	ex	ADV	19	advmod
20	Pussycat	PROPN	13	obl:arg
21	Doll	PROPN	19	flat:name
22	,	PUNCT	22	punct
23	Kimberly	PROPN	19	appos
24	Wyatt	PROPN	22	flat:name
25	et	CCONJ	25	cc
26	aux	_	None	_
27	à	ADP	13	conj
28	les	DET	25	fixed
29	côtés	NOUN	25	fixed
30	de	ADP	30	case
31	l'	DET	30	det
32	acteur	NOUN	25	obl:arg
33	et	CCONJ	32	cc
34	danseur	NOUN	30	conj
35	de	ADP	34	case
36	claquettes	NOUN	30	nmod
37	Adam	PROPN	30	appos
38	Garcia	PROPN	35	flat:name
39	.	PUNCT	6	punct