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:
Je viens de finir mon tatouage à Marquis Body Art et c'est exactement comme le dessin du projet, je suis très content, et en plus j'ai été bien recu, ils sont très sympas, je recommande
Postion	Tokenization
1	Je
2	viens
3	de
4	finir
5	mon
6	tatouage
7	à
8	Marquis
9	Body
10	Art
11	et
12	c'
13	est
14	exactement
15	comme
16	le
17	dessin
18	du
19	de
20	le
21	projet
22	,
23	je
24	suis
25	très
26	content
27	,
28	et
29	en
30	plus
31	j'
32	ai
33	été
34	bien
35	recu
36	,
37	ils
38	sont
39	très
40	sympas
41	,
42	je
43	recommande
Position	Tokenization	UPOS	Head	Deprel
1	Je	PRON	2	nsubj
2	viens	VERB	0	root
3	de	ADP	4	mark
4	finir	VERB	2	xcomp:obl
5	mon	DET	6	det
6	tatouage	NOUN	4	obj
7	à	ADP	8	case
8	Marquis	PROPN	6	nmod
9	Body	PROPN	8	flat:name
10	Art	PROPN	9	flat:name
11	et	CCONJ	17	cc
12	c'	PRON	17	nsubj
13	est	AUX	17	cop
14	exactement	ADV	17	advmod
15	comme	ADP	17	case
16	le	DET	17	det
17	dessin	NOUN	2	conj
18	du	_	None	_
19	de	ADP	20	case
20	le	DET	20	det
21	projet	NOUN	17	nmod
22	,	PUNCT	25	punct
23	je	PRON	25	nsubj
24	suis	AUX	25	cop
25	très	ADV	25	advmod
26	content	ADJ	2	conj
27	,	PUNCT	34	punct
28	et	CCONJ	34	cc
29	en	ADP	34	advmod
30	plus	ADV	28	fixed
31	j'	PRON	34	nsubj:pass
32	ai	AUX	34	aux:tense
33	été	AUX	34	aux:pass
34	bien	ADV	34	advmod
35	recu	VERB	2	conj
36	,	PUNCT	39	punct
37	ils	PRON	39	nsubj
38	sont	AUX	39	cop
39	très	ADV	39	advmod
40	sympas	ADJ	2	conj
41	,	PUNCT	42	punct
42	je	PRON	42	nsubj
43	recommande	VERB	2	conj