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:
Comme dans Gran Turismo, le joueur doit gagner des courses pour débloquer des crédits qui lui permettront d'acheter des voitures et des pièces de tuning.
Postion	Tokenization
1	Comme
2	dans
3	Gran
4	Turismo
5	,
6	le
7	joueur
8	doit
9	gagner
10	des
11	courses
12	pour
13	débloquer
14	des
15	crédits
16	qui
17	lui
18	permettront
19	d'
20	acheter
21	des
22	voitures
23	et
24	des
25	pièces
26	de
27	tuning
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Comme	SCONJ	3	mark
2	dans	ADP	3	case
3	Gran	PROPN	8	advcl
4	Turismo	PROPN	3	flat:name
5	,	PUNCT	3	punct
6	le	DET	7	det
7	joueur	NOUN	8	nsubj
8	doit	VERB	0	root
9	gagner	VERB	8	xcomp:obj
10	des	DET	11	det
11	courses	NOUN	9	obj
12	pour	ADP	13	mark
13	débloquer	VERB	9	advcl
14	des	DET	15	det
15	crédits	NOUN	13	obj
16	qui	PRON	18	nsubj
17	lui	PRON	18	obl:arg
18	permettront	VERB	15	acl:relcl
19	d'	ADP	20	mark
20	acheter	VERB	18	xcomp:obj
21	des	DET	22	det
22	voitures	NOUN	20	obj
23	et	CCONJ	25	cc
24	des	DET	25	det
25	pièces	NOUN	22	conj
26	de	ADP	27	case
27	tuning	NOUN	25	nmod
28	.	PUNCT	8	punct