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:
Chaque site propose des coupons de réductions (avec des réductions allant de 50 à 90% en moyenne) sur plusieurs sortes d'activité.
Postion	Tokenization
1	Chaque
2	site
3	propose
4	des
5	coupons
6	de
7	réductions
8	(
9	avec
10	des
11	réductions
12	allant
13	de
14	50
15	à
16	90
17	%
18	en
19	moyenne
20	)
21	sur
22	plusieurs
23	sortes
24	d'
25	activité
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Chaque	DET	2	det
2	site	NOUN	3	nsubj
3	propose	VERB	0	root
4	des	DET	5	det
5	coupons	NOUN	3	obj
6	de	ADP	7	case
7	réductions	NOUN	5	nmod
8	(	PUNCT	11	punct
9	avec	ADP	11	case
10	des	DET	11	det
11	réductions	NOUN	5	nmod
12	allant	VERB	11	acl
13	de	ADP	14	case
14	50	NUM	12	obl:arg
15	à	ADP	17	case
16	90	NUM	17	nummod
17	%	SYM	14	nmod
18	en	ADP	19	case
19	moyenne	NOUN	12	obl:mod
20	)	PUNCT	11	punct
21	sur	ADP	23	case
22	plusieurs	DET	23	det
23	sortes	NOUN	3	obl:mod
24	d'	ADP	25	case
25	activité	NOUN	23	nmod
26	.	PUNCT	3	punct