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:
Après trois saisons dans le club francilien, il connaît ses plus belles émotions au Caen TTC, club cher à son cœur avec lequel il devient Champion d'Europe en 1999.
Postion	Tokenization
1	Après
2	trois
3	saisons
4	dans
5	le
6	club
7	francilien
8	,
9	il
10	connaît
11	ses
12	plus
13	belles
14	émotions
15	au
16	à
17	le
18	Caen
19	TTC
20	,
21	club
22	cher
23	à
24	son
25	cœur
26	avec
27	lequel
28	il
29	devient
30	Champion
31	d'
32	Europe
33	en
34	1999
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	case
2	trois	NUM	3	nummod
3	saisons	NOUN	10	obl:mod
4	dans	ADP	6	case
5	le	DET	6	det
6	club	NOUN	3	nmod
7	francilien	ADJ	6	amod
8	,	PUNCT	3	punct
9	il	PRON	10	nsubj
10	connaît	VERB	0	root
11	ses	DET	14	det
12	plus	ADV	13	advmod
13	belles	ADJ	14	amod
14	émotions	NOUN	10	obj
15	au	_	None	_
16	à	ADP	17	case
17	le	DET	17	det
18	Caen	PROPN	10	obl:mod
19	TTC	PROPN	17	flat:name
20	,	PUNCT	20	punct
21	club	NOUN	17	appos
22	cher	ADJ	20	amod
23	à	ADP	24	case
24	son	DET	24	det
25	cœur	NOUN	20	nmod
26	avec	ADP	26	case
27	lequel	PRON	28	obl:mod
28	il	PRON	28	nsubj
29	devient	VERB	20	acl:relcl
30	Champion	NOUN	28	xcomp:pred
31	d'	ADP	31	case
32	Europe	PROPN	29	nmod
33	en	ADP	33	case
34	1999	NUM	28	obl:mod
35	.	PUNCT	10	punct