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:
Grâce à sa victoire 80-63 face à la Corée lors du tournoi de qualification olympique en quart de finale, l'équipe de France de basket-ball féminine s'est qualifiée pour les Jeux olympiques.
Postion	Tokenization
1	Grâce
2	à
3	sa
4	victoire
5	80-63
6	face
7	à
8	la
9	Corée
10	lors
11	du
12	de
13	le
14	tournoi
15	de
16	qualification
17	olympique
18	en
19	quart
20	de
21	finale
22	,
23	l'
24	équipe
25	de
26	France
27	de
28	basket-ball
29	féminine
30	s'
31	est
32	qualifiée
33	pour
34	les
35	Jeux
36	olympiques
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Grâce	NOUN	4	case
2	à	ADP	1	fixed
3	sa	DET	4	det
4	victoire	NOUN	31	obl:mod
5	80-63	NUM	4	appos
6	face	NOUN	9	case
7	à	ADP	6	fixed
8	la	DET	9	det
9	Corée	PROPN	4	nmod
10	lors	ADV	4	advmod
11	du	_	None	_
12	de	ADP	13	case
13	le	DET	13	det
14	tournoi	NOUN	10	obl:arg
15	de	ADP	15	case
16	qualification	NOUN	13	nmod
17	olympique	ADJ	15	amod
18	en	ADP	18	case
19	quart	NOUN	4	nmod
20	de	ADP	20	case
21	finale	NOUN	18	nmod
22	,	PUNCT	4	punct
23	l'	DET	23	det
24	équipe	NOUN	31	nsubj
25	de	ADP	25	case
26	France	PROPN	23	nmod
27	de	ADP	27	case
28	basket-ball	NOUN	23	nmod
29	féminine	ADJ	23	amod
30	s'	PRON	31	expl:pass
31	est	AUX	31	aux:tense
32	qualifiée	VERB	0	root
33	pour	ADP	34	case
34	les	DET	34	det
35	Jeux	NOUN	31	obl:mod
36	olympiques	ADJ	34	amod
37	.	PUNCT	31	punct