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:
Son travail sur le scénario du film « Les infiltrés » lui a d'ailleurs valu en 2006 un prix décerné par la WGA Award et surtout l'oscar du meilleur scénario adapté.
Postion	Tokenization
1	Son
2	travail
3	sur
4	le
5	scénario
6	du
7	de
8	le
9	film
10	«
11	Les
12	infiltrés
13	»
14	lui
15	a
16	d'
17	ailleurs
18	valu
19	en
20	2006
21	un
22	prix
23	décerné
24	par
25	la
26	WGA
27	Award
28	et
29	surtout
30	l'
31	oscar
32	du
33	de
34	le
35	meilleur
36	scénario
37	adapté
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Son	DET	2	det
2	travail	NOUN	17	nsubj
3	sur	ADP	5	case
4	le	DET	5	det
5	scénario	NOUN	2	nmod
6	du	_	None	_
7	de	ADP	8	case
8	le	DET	8	det
9	film	NOUN	5	nmod
10	«	PUNCT	11	punct
11	Les	DET	11	det
12	infiltrés	VERB	8	appos
13	»	PUNCT	11	punct
14	lui	PRON	17	obl:arg
15	a	AUX	17	aux:tense
16	d'	ADP	17	advmod
17	ailleurs	ADV	15	fixed
18	valu	VERB	0	root
19	en	ADP	19	case
20	2006	NUM	17	obl:mod
21	un	DET	21	det
22	prix	NOUN	17	obj
23	décerné	VERB	21	acl
24	par	ADP	25	case
25	la	DET	25	det
26	WGA	PROPN	22	obl:agent
27	Award	PROPN	25	flat:name
28	et	CCONJ	30	cc
29	surtout	ADV	30	advmod
30	l'	DET	30	det
31	oscar	NOUN	21	conj
32	du	_	None	_
33	de	ADP	34	case
34	le	DET	34	det
35	meilleur	ADJ	34	amod
36	scénario	NOUN	30	nmod
37	adapté	VERB	34	acl
38	.	PUNCT	17	punct