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:
Elle obtient ensuite, la même année, le premier rôle, dans le film Je vais bien, ne t'en fais pas, de Philippe Lioret.
Postion	Tokenization
1	Elle
2	obtient
3	ensuite
4	,
5	la
6	même
7	année
8	,
9	le
10	premier
11	rôle
12	,
13	dans
14	le
15	film
16	Je
17	vais
18	bien
19	,
20	ne
21	t'
22	en
23	fais
24	pas
25	,
26	de
27	Philippe
28	Lioret
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	obtient	VERB	0	root
3	ensuite	ADV	2	advmod
4	,	PUNCT	7	punct
5	la	DET	7	det
6	même	ADJ	7	amod
7	année	NOUN	2	obl:mod
8	,	PUNCT	11	punct
9	le	DET	11	det
10	premier	ADJ	11	amod
11	rôle	NOUN	2	obj
12	,	PUNCT	15	punct
13	dans	ADP	15	case
14	le	DET	15	det
15	film	NOUN	2	obl:mod
16	Je	PRON	17	nsubj
17	vais	VERB	15	appos
18	bien	ADV	17	obl:arg
19	,	PUNCT	23	punct
20	ne	ADV	23	advmod
21	t'	PRON	23	obj
22	en	PRON	23	dep:comp
23	fais	VERB	17	conj
24	pas	ADV	23	advmod
25	,	PUNCT	27	punct
26	de	ADP	27	case
27	Philippe	PROPN	15	nmod
28	Lioret	PROPN	27	flat:name
29	.	PUNCT	2	punct