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:
En 2010, elle remporte une troisième fois l'UCI Asia Tour (une troisième fois en trois participations) grâce aux iraniens Mahdi Sohrabi, Hossein Askari et Ghader Mizbani Iranagh qui trustent les trois premières places du classement individuel.
Postion	Tokenization
1	En
2	2010
3	,
4	elle
5	remporte
6	une
7	troisième
8	fois
9	l'
10	UCI
11	Asia
12	Tour
13	(
14	une
15	troisième
16	fois
17	en
18	trois
19	participations
20	)
21	grâce
22	aux
23	à
24	les
25	iraniens
26	Mahdi
27	Sohrabi
28	,
29	Hossein
30	Askari
31	et
32	Ghader
33	Mizbani
34	Iranagh
35	qui
36	trustent
37	les
38	trois
39	premières
40	places
41	du
42	de
43	le
44	classement
45	individuel
46	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	2010	NUM	5	obl:mod
3	,	PUNCT	2	punct
4	elle	PRON	5	nsubj
5	remporte	VERB	0	root
6	une	DET	8	det
7	troisième	ADJ	8	amod
8	fois	NOUN	5	obl:mod
9	l'	DET	12	det
10	UCI	PROPN	12	nmod
11	Asia	PROPN	12	nmod
12	Tour	PROPN	5	obj
13	(	PUNCT	16	punct
14	une	DET	16	det
15	troisième	ADJ	16	amod
16	fois	NOUN	8	appos
17	en	ADP	19	case
18	trois	NUM	19	nummod
19	participations	NOUN	16	nmod
20	)	PUNCT	16	punct
21	grâce	NOUN	24	case
22	aux	_	None	_
23	à	ADP	21	fixed
24	les	DET	24	det
25	iraniens	NOUN	5	obl:mod
26	Mahdi	PROPN	24	appos
27	Sohrabi	PROPN	25	flat:name
28	,	PUNCT	28	punct
29	Hossein	PROPN	25	conj
30	Askari	PROPN	28	flat:name
31	et	CCONJ	31	cc
32	Ghader	PROPN	25	conj
33	Mizbani	PROPN	31	flat:name
34	Iranagh	PROPN	32	flat:name
35	qui	PRON	35	nsubj
36	trustent	VERB	24	acl:relcl
37	les	DET	39	det
38	trois	NUM	39	nummod
39	premières	ADJ	39	amod
40	places	NOUN	35	obj
41	du	_	None	_
42	de	ADP	42	case
43	le	DET	42	det
44	classement	NOUN	39	nmod
45	individuel	ADJ	42	amod
46	.	PUNCT	5	punct