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:
cette boulangerie est bien pour les lycéens car il y a des rabais exemple 5 pains aux chocolat pour 2 € !
Postion	Tokenization
1	cette
2	boulangerie
3	est
4	bien
5	pour
6	les
7	lycéens
8	car
9	il
10	y
11	a
12	des
13	rabais
14	exemple
15	5
16	pains
17	aux
18	à
19	les
20	chocolat
21	pour
22	2
23	€
24	!
Position	Tokenization	UPOS	Head	Deprel
1	cette	DET	2	det
2	boulangerie	NOUN	4	nsubj
3	est	AUX	4	cop
4	bien	ADV	0	root
5	pour	ADP	7	case
6	les	DET	7	det
7	lycéens	NOUN	4	obl:mod
8	car	CCONJ	11	cc
9	il	PRON	11	expl:subj
10	y	PRON	11	dep:comp
11	a	VERB	4	conj
12	des	DET	13	det
13	rabais	NOUN	11	obj
14	exemple	NOUN	11	obl:mod
15	5	NUM	16	nummod
16	pains	NOUN	14	appos
17	aux	_	None	_
18	à	ADP	19	case
19	les	DET	19	det
20	chocolat	NOUN	16	nmod
21	pour	ADP	22	case
22	2	NUM	22	nummod
23	€	SYM	16	nmod
24	!	PUNCT	4	punct