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:
Au Grand Prix d'Europe à Valence, il signe sa première pole position de la saison et termine deuxième derrière Rubens Barrichello suite à une petite erreur de ses mécaniciens dans les stands.
Postion	Tokenization
1	Au
2	à
3	le
4	Grand
5	Prix
6	d'
7	Europe
8	à
9	Valence
10	,
11	il
12	signe
13	sa
14	première
15	pole
16	position
17	de
18	la
19	saison
20	et
21	termine
22	deuxième
23	derrière
24	Rubens
25	Barrichello
26	suite
27	à
28	une
29	petite
30	erreur
31	de
32	ses
33	mécaniciens
34	dans
35	les
36	stands
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Au	_	None	_
2	à	ADP	4	case
3	le	DET	4	det
4	Grand	ADJ	4	amod
5	Prix	NOUN	11	obl:mod
6	d'	ADP	6	case
7	Europe	PROPN	4	nmod
8	à	ADP	8	case
9	Valence	PROPN	4	nmod
10	,	PUNCT	4	punct
11	il	PRON	11	nsubj
12	signe	VERB	0	root
13	sa	DET	15	det
14	première	ADJ	15	amod
15	pole	NOUN	15	nmod
16	position	NOUN	11	obj
17	de	ADP	18	case
18	la	DET	18	det
19	saison	NOUN	15	nmod
20	et	CCONJ	20	cc
21	termine	VERB	11	conj
22	deuxième	ADJ	20	xcomp:pred
23	derrière	ADP	23	case
24	Rubens	PROPN	20	obl:mod
25	Barrichello	PROPN	23	flat:name
26	suite	NOUN	29	case
27	à	ADP	25	fixed
28	une	DET	29	det
29	petite	ADJ	29	amod
30	erreur	NOUN	20	obl:mod
31	de	ADP	32	case
32	ses	DET	32	det
33	mécaniciens	NOUN	29	nmod
34	dans	ADP	35	case
35	les	DET	35	det
36	stands	NOUN	29	nmod
37	.	PUNCT	11	punct