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:
En plus d'apprendre toutes les techniques du relooking, on apprend aussi à se connaitre mieux soi-même, ses goûts, son style, son image... Ce qui est indispensable dans ce métier.
Postion	Tokenization
1	En
2	plus
3	d'
4	apprendre
5	toutes
6	les
7	techniques
8	du
9	de
10	le
11	relooking
12	,
13	on
14	apprend
15	aussi
16	à
17	se
18	connaitre
19	mieux
20	soi-même
21	,
22	ses
23	goûts
24	,
25	son
26	style
27	,
28	son
29	image
30	...
31	Ce
32	qui
33	est
34	indispensable
35	dans
36	ce
37	métier
38	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	13	advmod
2	plus	ADV	1	fixed
3	d'	ADP	4	mark
4	apprendre	VERB	1	ccomp:obl
5	toutes	ADJ	7	amod
6	les	DET	7	det
7	techniques	NOUN	4	obj
8	du	_	None	_
9	de	ADP	10	case
10	le	DET	10	det
11	relooking	NOUN	7	nmod
12	,	PUNCT	1	punct
13	on	PRON	13	nsubj
14	apprend	VERB	0	root
15	aussi	ADV	13	advmod
16	à	ADP	17	mark
17	se	PRON	17	obj
18	connaitre	VERB	13	xcomp:obl
19	mieux	ADV	17	advmod
20	soi-même	PRON	17	obl:mod
21	,	PUNCT	22	punct
22	ses	DET	22	det
23	goûts	NOUN	19	conj
24	,	PUNCT	25	punct
25	son	DET	25	det
26	style	NOUN	19	conj
27	,	PUNCT	28	punct
28	son	DET	28	det
29	image	NOUN	19	conj
30	...	PUNCT	30	punct
31	Ce	PRON	13	obl:mod
32	qui	PRON	33	nsubj
33	est	AUX	33	cop
34	indispensable	ADJ	30	acl:relcl
35	dans	ADP	36	case
36	ce	DET	36	det
37	métier	NOUN	33	obl:mod
38	.	PUNCT	13	punct