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:
Barbie se fait virer du tournage de "La Princesse au Petit Pois" parce qu'elle n'a pas la même vision des choses que le réalisateur.
Postion	Tokenization
1	Barbie
2	se
3	fait
4	virer
5	du
6	de
7	le
8	tournage
9	de
10	"
11	La
12	Princesse
13	au
14	à
15	le
16	Petit
17	Pois
18	"
19	parce
20	qu'
21	elle
22	n'
23	a
24	pas
25	la
26	même
27	vision
28	des
29	de
30	les
31	choses
32	que
33	le
34	réalisateur
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Barbie	PROPN	4	nsubj:caus
2	se	PRON	4	obj
3	fait	AUX	4	aux:caus
4	virer	VERB	0	root
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	tournage	NOUN	4	obl:arg
9	de	ADP	11	case
10	"	PUNCT	11	punct
11	La	DET	11	det
12	Princesse	NOUN	7	nmod
13	au	_	None	_
14	à	ADP	15	case
15	le	DET	15	det
16	Petit	ADJ	15	amod
17	Pois	NOUN	11	nmod
18	"	PUNCT	11	punct
19	parce	ADV	21	mark
20	qu'	SCONJ	17	fixed
21	elle	PRON	21	nsubj
22	n'	ADV	21	advmod
23	a	VERB	4	advcl
24	pas	ADV	21	advmod
25	la	DET	25	det
26	même	ADJ	25	amod
27	vision	NOUN	21	obj
28	des	_	None	_
29	de	ADP	28	case
30	les	DET	28	det
31	choses	NOUN	25	nmod
32	que	SCONJ	31	case
33	le	DET	31	det
34	réalisateur	NOUN	24	obl:arg
35	.	PUNCT	4	punct