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:
À Singapour, il profite du dépassement d'un retardataire par Webber pour le dépasser pour le gain de la troisième place mais l'Australien le percute et le contraint à l'abandon.
Postion	Tokenization
1	À
2	Singapour
3	,
4	il
5	profite
6	du
7	de
8	le
9	dépassement
10	d'
11	un
12	retardataire
13	par
14	Webber
15	pour
16	le
17	dépasser
18	pour
19	le
20	gain
21	de
22	la
23	troisième
24	place
25	mais
26	l'
27	Australien
28	le
29	percute
30	et
31	le
32	contraint
33	à
34	l'
35	abandon
36	.
Position	Tokenization	UPOS	Head	Deprel
1	À	ADP	2	case
2	Singapour	PROPN	5	obl:mod
3	,	PUNCT	2	punct
4	il	PRON	5	nsubj
5	profite	VERB	0	root
6	du	_	None	_
7	de	ADP	8	case
8	le	DET	8	det
9	dépassement	NOUN	5	obl:arg
10	d'	ADP	11	case
11	un	DET	11	det
12	retardataire	NOUN	8	nmod
13	par	ADP	13	case
14	Webber	PROPN	8	nmod
15	pour	ADP	16	mark
16	le	PRON	16	obj
17	dépasser	VERB	5	advcl
18	pour	ADP	19	case
19	le	DET	19	det
20	gain	NOUN	16	obl:mod
21	de	ADP	23	case
22	la	DET	23	det
23	troisième	ADJ	23	amod
24	place	NOUN	19	nmod
25	mais	CCONJ	28	cc
26	l'	DET	26	det
27	Australien	NOUN	28	nsubj
28	le	PRON	28	obj
29	percute	VERB	5	conj
30	et	CCONJ	31	cc
31	le	PRON	31	obj
32	contraint	VERB	28	conj
33	à	ADP	34	case
34	l'	DET	34	det
35	abandon	NOUN	31	obl:mod
36	.	PUNCT	5	punct