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:
Bonjour, Dans ce magasin, il est ressenti une confiance dans les propos du commerçant, à coup sûr, il connait très bien son métier !
Postion	Tokenization
1	Bonjour
2	,
3	Dans
4	ce
5	magasin
6	,
7	il
8	est
9	ressenti
10	une
11	confiance
12	dans
13	les
14	propos
15	du
16	de
17	le
18	commerçant
19	,
20	à
21	coup
22	sûr
23	,
24	il
25	connait
26	très
27	bien
28	son
29	métier
30	!
Position	Tokenization	UPOS	Head	Deprel
1	Bonjour	INTJ	9	discourse
2	,	PUNCT	1	punct
3	Dans	ADP	5	case
4	ce	DET	5	det
5	magasin	NOUN	9	obl:mod
6	,	PUNCT	5	punct
7	il	PRON	9	nsubj
8	est	AUX	9	aux:tense
9	ressenti	VERB	0	root
10	une	DET	11	det
11	confiance	NOUN	9	obj
12	dans	ADP	14	case
13	les	DET	14	det
14	propos	NOUN	11	nmod
15	du	_	None	_
16	de	ADP	17	case
17	le	DET	17	det
18	commerçant	NOUN	14	nmod
19	,	PUNCT	24	punct
20	à	ADP	24	advmod
21	coup	NOUN	19	fixed
22	sûr	ADJ	19	fixed
23	,	PUNCT	19	punct
24	il	PRON	24	nsubj
25	connait	VERB	9	parataxis
26	très	ADV	26	advmod
27	bien	ADV	24	advmod
28	son	DET	28	det
29	métier	NOUN	24	obj
30	!	PUNCT	9	punct