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 chrono le plus rapide des qualifications a été établi par Kenny Brack avec une série de 4 tours à la moyenne de 227,598 mph (366,283 km/h) lors du deuxième week-end de qualifications.
Postion	Tokenization
1	Le
2	chrono
3	le
4	plus
5	rapide
6	des
7	de
8	les
9	qualifications
10	a
11	été
12	établi
13	par
14	Kenny
15	Brack
16	avec
17	une
18	série
19	de
20	4
21	tours
22	à
23	la
24	moyenne
25	de
26	227,598
27	mph
28	(
29	366,283
30	km/h
31	)
32	lors
33	du
34	de
35	le
36	deuxième
37	week-end
38	de
39	qualifications
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	chrono	NOUN	11	nsubj:pass
3	le	DET	5	advmod
4	plus	ADV	3	fixed
5	rapide	ADJ	2	amod
6	des	_	None	_
7	de	ADP	8	case
8	les	DET	8	det
9	qualifications	NOUN	2	nmod
10	a	AUX	11	aux:tense
11	été	AUX	11	aux:pass
12	établi	VERB	0	root
13	par	ADP	13	case
14	Kenny	PROPN	11	obl:agent
15	Brack	PROPN	13	flat:name
16	avec	ADP	17	case
17	une	DET	17	det
18	série	NOUN	11	obl:mod
19	de	ADP	20	case
20	4	NUM	20	nummod
21	tours	NOUN	17	nmod
22	à	ADP	23	case
23	la	DET	23	det
24	moyenne	NOUN	17	nmod
25	de	ADP	26	case
26	227,598	NUM	26	nummod
27	mph	NOUN	23	nmod
28	(	PUNCT	29	punct
29	366,283	NUM	29	nummod
30	km/h	NOUN	26	appos
31	)	PUNCT	29	punct
32	lors	ADV	11	advmod
33	du	_	None	_
34	de	ADP	35	case
35	le	DET	35	det
36	deuxième	ADJ	35	amod
37	week-end	NOUN	31	obl:arg
38	de	ADP	37	case
39	qualifications	NOUN	35	nmod
40	.	PUNCT	11	punct