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:
Stellan Skarsgard a également lâché quelques mots sur le film "Thor 2" dans lequel son personnage devait retrouver un rôle plus important.
Postion	Tokenization
1	Stellan
2	Skarsgard
3	a
4	également
5	lâché
6	quelques
7	mots
8	sur
9	le
10	film
11	"
12	Thor
13	2
14	"
15	dans
16	lequel
17	son
18	personnage
19	devait
20	retrouver
21	un
22	rôle
23	plus
24	important
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Stellan	PROPN	5	nsubj
2	Skarsgard	PROPN	1	flat:name
3	a	AUX	5	aux:tense
4	également	ADV	5	advmod
5	lâché	VERB	0	root
6	quelques	DET	7	det
7	mots	NOUN	5	obj
8	sur	ADP	10	case
9	le	DET	10	det
10	film	NOUN	5	obl:mod
11	"	PUNCT	12	punct
12	Thor	PROPN	10	appos
13	2	NUM	12	nmod
14	"	PUNCT	12	punct
15	dans	ADP	16	case
16	lequel	PRON	20	obl:mod
17	son	DET	18	det
18	personnage	NOUN	19	nsubj
19	devait	VERB	10	acl:relcl
20	retrouver	VERB	19	xcomp:obj
21	un	DET	22	det
22	rôle	NOUN	20	obj
23	plus	ADV	24	advmod
24	important	ADJ	22	amod
25	.	PUNCT	5	punct