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 paraît ainsi très peu préparée pour le deuxième tournoi du Grand Chelem de l'année, Roland-Garros.
Postion	Tokenization
1	Elle
2	paraît
3	ainsi
4	très
5	peu
6	préparée
7	pour
8	le
9	deuxième
10	tournoi
11	du
12	de
13	le
14	Grand
15	Chelem
16	de
17	l'
18	année
19	,
20	Roland-Garros
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Elle	PRON	2	nsubj
2	paraît	VERB	0	root
3	ainsi	ADV	2	advmod
4	très	ADV	5	advmod
5	peu	ADV	6	advmod
6	préparée	VERB	2	xcomp:pred
7	pour	ADP	10	case
8	le	DET	10	det
9	deuxième	ADJ	10	amod
10	tournoi	NOUN	6	obl:mod
11	du	_	None	_
12	de	ADP	14	case
13	le	DET	14	det
14	Grand	ADJ	14	amod
15	Chelem	NOUN	10	nmod
16	de	ADP	17	case
17	l'	DET	17	det
18	année	NOUN	10	nmod
19	,	PUNCT	19	punct
20	Roland-Garros	PROPN	10	appos
21	.	PUNCT	2	punct