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:
Un moteur d'essai peut être utilisé pour un total de 3,000 km aux bancs d'essais (soit 10 fois la distance d'un Grand Prix) afin de valider sa fiabilité et sa performance.
Postion	Tokenization
1	Un
2	moteur
3	d'
4	essai
5	peut
6	être
7	utilisé
8	pour
9	un
10	total
11	de
12	3,000
13	km
14	aux
15	à
16	les
17	bancs
18	d'
19	essais
20	(
21	soit
22	10
23	fois
24	la
25	distance
26	d'
27	un
28	Grand
29	Prix
30	)
31	afin
32	de
33	valider
34	sa
35	fiabilité
36	et
37	sa
38	performance
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	moteur	NOUN	5	nsubj
3	d'	ADP	4	case
4	essai	NOUN	2	nmod
5	peut	VERB	0	root
6	être	AUX	7	aux:pass
7	utilisé	VERB	5	xcomp:obj
8	pour	ADP	10	case
9	un	DET	10	det
10	total	NOUN	7	obl:mod
11	de	ADP	13	case
12	3,000	NUM	13	nummod
13	km	NOUN	10	nmod
14	aux	_	None	_
15	à	ADP	16	case
16	les	DET	16	det
17	bancs	NOUN	13	nmod
18	d'	ADP	18	case
19	essais	NOUN	16	nmod
20	(	PUNCT	22	punct
21	soit	ADV	22	advmod
22	10	NUM	22	nummod
23	fois	NOUN	10	appos
24	la	DET	24	det
25	distance	NOUN	22	nmod
26	d'	ADP	27	case
27	un	DET	27	det
28	Grand	PROPN	24	nmod
29	Prix	PROPN	27	flat:name
30	)	PUNCT	22	punct
31	afin	ADV	7	advmod
32	de	ADP	32	mark
33	valider	VERB	30	ccomp:obj
34	sa	DET	34	det
35	fiabilité	NOUN	32	obj
36	et	CCONJ	37	cc
37	sa	DET	37	det
38	performance	NOUN	34	conj
39	.	PUNCT	5	punct