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:
D'après un mécanicien spécialiste de la marque de ce véhicule, il y aurait un doute sérieux sur le kilométrage déclaré lors de la vente.
Postion	Tokenization
1	D'
2	après
3	un
4	mécanicien
5	spécialiste
6	de
7	la
8	marque
9	de
10	ce
11	véhicule
12	,
13	il
14	y
15	aurait
16	un
17	doute
18	sérieux
19	sur
20	le
21	kilométrage
22	déclaré
23	lors
24	de
25	la
26	vente
27	.
Position	Tokenization	UPOS	Head	Deprel
1	D'	ADP	4	case
2	après	ADP	1	fixed
3	un	DET	4	det
4	mécanicien	NOUN	15	obl:mod
5	spécialiste	ADJ	4	amod
6	de	ADP	8	case
7	la	DET	8	det
8	marque	NOUN	5	obl:arg
9	de	ADP	11	case
10	ce	DET	11	det
11	véhicule	NOUN	8	nmod
12	,	PUNCT	4	punct
13	il	PRON	15	expl:subj
14	y	PRON	15	dep:comp
15	aurait	VERB	0	root
16	un	DET	17	det
17	doute	NOUN	15	obj
18	sérieux	ADJ	17	amod
19	sur	ADP	21	case
20	le	DET	21	det
21	kilométrage	NOUN	17	nmod
22	déclaré	VERB	21	acl
23	lors	ADV	22	advmod
24	de	ADP	26	case
25	la	DET	26	det
26	vente	NOUN	23	obl:arg
27	.	PUNCT	15	punct