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:
Elle est sélectionnée en équipe de France de Trail pour les championnats du Monde de Trail 2011 en Irlande elle remporte une quatrième place en individuel et devient championne du Monde de Trail par équipe.
Postion	Tokenization
1	Elle
2	est
3	sélectionnée
4	en
5	équipe
6	de
7	France
8	de
9	Trail
10	pour
11	les
12	championnats
13	du
14	de
15	le
16	Monde
17	de
18	Trail
19	2011
20	en
21	Irlande
22	elle
23	remporte
24	une
25	quatrième
26	place
27	en
28	individuel
29	et
30	devient
31	championne
32	du
33	de
34	le
35	Monde
36	de
37	Trail
38	par
39	équipe
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	3	nsubj:pass
2	est	AUX	3	aux:pass
3	sélectionnée	VERB	0	root
4	en	ADP	5	case
5	équipe	NOUN	3	obl:mod
6	de	ADP	7	case
7	France	PROPN	5	nmod
8	de	ADP	9	case
9	Trail	NOUN	5	nmod
10	pour	ADP	12	case
11	les	DET	12	det
12	championnats	NOUN	3	obl:mod
13	du	_	None	_
14	de	ADP	15	case
15	le	DET	15	det
16	Monde	NOUN	12	nmod
17	de	ADP	17	case
18	Trail	NOUN	15	nmod
19	2011	NUM	12	nmod
20	en	ADP	20	case
21	Irlande	PROPN	12	nmod
22	elle	PRON	22	nsubj
23	remporte	VERB	3	conj
24	une	DET	25	det
25	quatrième	ADJ	25	amod
26	place	NOUN	22	obj
27	en	ADP	27	case
28	individuel	ADJ	22	obl:mod
29	et	CCONJ	29	cc
30	devient	VERB	22	conj
31	championne	NOUN	29	xcomp:pred
32	du	_	None	_
33	de	ADP	33	case
34	le	DET	33	det
35	Monde	NOUN	30	nmod
36	de	ADP	35	case
37	Trail	NOUN	30	nmod
38	par	ADP	37	case
39	équipe	NOUN	30	nmod
40	.	PUNCT	3	punct