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 n'est pas très douée pour montrer ses émotions, dire ce qu'elle ressent vraiment et ses désires comme le fait qu'elle aimerait être comme son frère Justin.
Postion	Tokenization
1	Elle
2	n'
3	est
4	pas
5	très
6	douée
7	pour
8	montrer
9	ses
10	émotions
11	,
12	dire
13	ce
14	qu'
15	elle
16	ressent
17	vraiment
18	et
19	ses
20	désires
21	comme
22	le
23	fait
24	qu'
25	elle
26	aimerait
27	être
28	comme
29	son
30	frère
31	Justin
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	6	nsubj
2	n'	ADV	6	advmod
3	est	AUX	6	cop
4	pas	ADV	6	advmod
5	très	ADV	6	advmod
6	douée	ADJ	0	root
7	pour	ADP	8	mark
8	montrer	VERB	6	advcl
9	ses	DET	10	det
10	émotions	NOUN	8	obj
11	,	PUNCT	12	punct
12	dire	VERB	8	conj
13	ce	PRON	12	obj
14	qu'	PRON	16	obj
15	elle	PRON	16	nsubj
16	ressent	VERB	13	acl:relcl
17	vraiment	ADV	16	advmod
18	et	CCONJ	20	cc
19	ses	DET	20	det
20	désires	NOUN	13	conj
21	comme	ADP	23	case
22	le	DET	23	det
23	fait	NOUN	20	nmod
24	qu'	SCONJ	26	mark
25	elle	PRON	26	nsubj
26	aimerait	VERB	23	acl
27	être	AUX	30	cop
28	comme	ADP	30	case
29	son	DET	30	det
30	frère	NOUN	26	xcomp:obj
31	Justin	PROPN	30	appos
32	.	PUNCT	6	punct