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:
L'adoption de cette DKG, permet à la M3 coupé de gagner 2 dixièmes de seconde sur le 0-100 km/h pour se contenter de 4,6 secondes.
Postion	Tokenization
1	L'
2	adoption
3	de
4	cette
5	DKG
6	,
7	permet
8	à
9	la
10	M3
11	coupé
12	de
13	gagner
14	2
15	dixièmes
16	de
17	seconde
18	sur
19	le
20	0
21	-
22	100
23	km/h
24	pour
25	se
26	contenter
27	de
28	4,6
29	secondes
30	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	adoption	NOUN	7	nsubj
3	de	ADP	5	case
4	cette	DET	5	det
5	DKG	NOUN	2	nmod
6	,	PUNCT	2	punct
7	permet	VERB	0	root
8	à	ADP	10	case
9	la	DET	10	det
10	M3	PROPN	7	obl:arg
11	coupé	NOUN	10	appos
12	de	ADP	13	mark
13	gagner	VERB	7	xcomp:obj
14	2	NUM	15	nummod
15	dixièmes	NOUN	13	obj
16	de	ADP	17	case
17	seconde	NOUN	15	nmod
18	sur	ADP	23	case
19	le	DET	23	det
20	0	NUM	23	nummod
21	-	PUNCT	22	punct
22	100	NUM	20	nmod
23	km/h	NOUN	13	obl:mod
24	pour	ADP	26	mark
25	se	PRON	26	dep:comp
26	contenter	VERB	7	advcl
27	de	ADP	29	case
28	4,6	NUM	29	nummod
29	secondes	NOUN	26	obl:arg
30	.	PUNCT	7	punct