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:
Le consommateur doit retrouver ses points de repère, faisant référence à la marque existante, afin d'être rassuré sur l'origine de la nouvelle marque.
Postion	Tokenization
1	Le
2	consommateur
3	doit
4	retrouver
5	ses
6	points
7	de
8	repère
9	,
10	faisant
11	référence
12	à
13	la
14	marque
15	existante
16	,
17	afin
18	d'
19	être
20	rassuré
21	sur
22	l'
23	origine
24	de
25	la
26	nouvelle
27	marque
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	consommateur	NOUN	3	nsubj
3	doit	VERB	0	root
4	retrouver	VERB	3	xcomp:obj
5	ses	DET	6	det
6	points	NOUN	4	obj
7	de	ADP	8	case
8	repère	NOUN	6	nmod
9	,	PUNCT	10	punct
10	faisant	VERB	6	acl
11	référence	NOUN	10	obj:lvc
12	à	ADP	14	case
13	la	DET	14	det
14	marque	NOUN	11	dep:comp
15	existante	ADJ	14	amod
16	,	PUNCT	17	punct
17	afin	ADV	4	advmod
18	d'	ADP	20	mark
19	être	AUX	20	aux:pass
20	rassuré	VERB	17	ccomp:obj
21	sur	ADP	23	case
22	l'	DET	23	det
23	origine	NOUN	20	obl:mod
24	de	ADP	27	case
25	la	DET	27	det
26	nouvelle	ADJ	27	amod
27	marque	NOUN	23	nmod
28	.	PUNCT	3	punct