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:
Cette même année, le réalisateur Leonel Vieira lui offre un rôle à contre-emploi dans la comédie policière Arte de Roubar, celui de Prima, une jeune femme triste et laide.
Postion	Tokenization
1	Cette
2	même
3	année
4	,
5	le
6	réalisateur
7	Leonel
8	Vieira
9	lui
10	offre
11	un
12	rôle
13	à
14	contre-emploi
15	dans
16	la
17	comédie
18	policière
19	Arte
20	de
21	Roubar
22	,
23	celui
24	de
25	Prima
26	,
27	une
28	jeune
29	femme
30	triste
31	et
32	laide
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Cette	DET	3	det
2	même	ADJ	3	amod
3	année	NOUN	10	obl:mod
4	,	PUNCT	3	punct
5	le	DET	6	det
6	réalisateur	NOUN	10	nsubj
7	Leonel	PROPN	6	appos
8	Vieira	PROPN	7	flat:name
9	lui	PRON	10	obl:arg
10	offre	VERB	0	root
11	un	DET	12	det
12	rôle	NOUN	10	obj
13	à	ADP	14	case
14	contre-emploi	NOUN	12	nmod
15	dans	ADP	17	case
16	la	DET	17	det
17	comédie	NOUN	12	nmod
18	policière	ADJ	17	amod
19	Arte	PROPN	17	appos
20	de	ADP	21	case
21	Roubar	PROPN	19	nmod
22	,	PUNCT	23	punct
23	celui	PRON	12	appos
24	de	ADP	25	case
25	Prima	PROPN	23	nmod
26	,	PUNCT	29	punct
27	une	DET	29	det
28	jeune	ADJ	29	amod
29	femme	NOUN	25	appos
30	triste	ADJ	29	amod
31	et	CCONJ	32	cc
32	laide	ADJ	30	conj
33	.	PUNCT	10	punct