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:
Fin 2002, alors que le Cheever Racing est devenu l'une des meilleures équipes de l'IRL, Eddie Cheever met un terme à sa carrière de pilote.
Postion	Tokenization
1	Fin
2	2002
3	,
4	alors
5	que
6	le
7	Cheever
8	Racing
9	est
10	devenu
11	l'
12	une
13	des
14	de
15	les
16	meilleures
17	équipes
18	de
19	l'
20	IRL
21	,
22	Eddie
23	Cheever
24	met
25	un
26	terme
27	à
28	sa
29	carrière
30	de
31	pilote
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Fin	NOUN	23	obl:mod
2	2002	NUM	1	nmod
3	,	PUNCT	1	punct
4	alors	ADV	10	mark
5	que	SCONJ	4	fixed
6	le	DET	7	det
7	Cheever	PROPN	10	nsubj
8	Racing	PROPN	7	flat:name
9	est	AUX	10	aux:tense
10	devenu	VERB	23	advcl
11	l'	DET	12	det
12	une	PRON	10	xcomp:pred
13	des	_	None	_
14	de	ADP	16	case
15	les	DET	16	det
16	meilleures	ADJ	16	amod
17	équipes	NOUN	12	nmod
18	de	ADP	19	case
19	l'	DET	19	det
20	IRL	PROPN	16	nmod
21	,	PUNCT	10	punct
22	Eddie	PROPN	23	nsubj
23	Cheever	PROPN	21	flat:name
24	met	VERB	0	root
25	un	DET	25	det
26	terme	NOUN	23	obj
27	à	ADP	28	case
28	sa	DET	28	det
29	carrière	NOUN	23	obl:arg
30	de	ADP	30	case
31	pilote	NOUN	28	nmod
32	.	PUNCT	23	punct