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:
Lors de la tournée sur gazon, elle atteint la finale du tournoi de Bois-le-Duc où elle s'incline en trois sets contre Justine Henin.
Postion	Tokenization
1	Lors
2	de
3	la
4	tournée
5	sur
6	gazon
7	,
8	elle
9	atteint
10	la
11	finale
12	du
13	de
14	le
15	tournoi
16	de
17	Bois-le-Duc
18	où
19	elle
20	s'
21	incline
22	en
23	trois
24	sets
25	contre
26	Justine
27	Henin
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Lors	ADV	9	advmod
2	de	ADP	4	case
3	la	DET	4	det
4	tournée	NOUN	1	obl:arg
5	sur	ADP	6	case
6	gazon	NOUN	4	nmod
7	,	PUNCT	4	punct
8	elle	PRON	9	nsubj
9	atteint	VERB	0	root
10	la	DET	11	det
11	finale	NOUN	9	obj
12	du	_	None	_
13	de	ADP	14	case
14	le	DET	14	det
15	tournoi	NOUN	11	nmod
16	de	ADP	16	case
17	Bois-le-Duc	PROPN	14	nmod
18	où	ADV	20	advmod
19	elle	PRON	20	nsubj
20	s'	PRON	20	dep:comp
21	incline	VERB	11	acl:relcl
22	en	ADP	23	case
23	trois	NUM	23	nummod
24	sets	NOUN	20	obl:mod
25	contre	ADP	25	case
26	Justine	PROPN	20	obl:mod
27	Henin	PROPN	25	flat:name
28	.	PUNCT	9	punct