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 centre mondial du cyclisme (CMC), basé à Aigle, en Suisse, est un espace qui permet a de jeunes coureurs cyclistes appartenant à des pays ne disposant pas de structures de haut niveau de s'entrainer.
Postion	Tokenization
1	Le
2	centre
3	mondial
4	du
5	de
6	le
7	cyclisme
8	(
9	CMC
10	)
11	,
12	basé
13	à
14	Aigle
15	,
16	en
17	Suisse
18	,
19	est
20	un
21	espace
22	qui
23	permet
24	a
25	de
26	jeunes
27	coureurs
28	cyclistes
29	appartenant
30	à
31	des
32	pays
33	ne
34	disposant
35	pas
36	de
37	structures
38	de
39	haut
40	niveau
41	de
42	s'
43	entrainer
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	centre	NOUN	20	nsubj
3	mondial	ADJ	2	amod
4	du	_	None	_
5	de	ADP	6	case
6	le	DET	6	det
7	cyclisme	NOUN	2	nmod
8	(	PUNCT	8	punct
9	CMC	PROPN	2	appos
10	)	PUNCT	8	punct
11	,	PUNCT	11	punct
12	basé	VERB	2	acl
13	à	ADP	13	case
14	Aigle	PROPN	11	obl:arg
15	,	PUNCT	16	punct
16	en	ADP	16	case
17	Suisse	PROPN	11	obl:mod
18	,	PUNCT	16	punct
19	est	AUX	20	cop
20	un	DET	20	det
21	espace	NOUN	0	root
22	qui	PRON	22	nsubj
23	permet	VERB	20	acl:relcl
24	a	ADP	26	case
25	de	DET	26	det
26	jeunes	ADJ	26	amod
27	coureurs	NOUN	22	obl:arg
28	cyclistes	ADJ	26	amod
29	appartenant	VERB	26	acl
30	à	ADP	31	case
31	des	DET	31	det
32	pays	NOUN	28	obl:arg
33	ne	ADV	33	advmod
34	disposant	VERB	31	acl
35	pas	ADV	33	advmod
36	de	ADP	36	case
37	structures	NOUN	33	obl:arg
38	de	ADP	39	case
39	haut	ADJ	39	amod
40	niveau	NOUN	36	nmod
41	de	ADP	42	mark
42	s'	PRON	42	obj
43	entrainer	VERB	22	xcomp:obj
44	.	PUNCT	20	punct