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:
Ses bonnes performances lui ont permis aussi de se trouver dans le top 10 mondial au classement général à une reprise en 2011 avec le rang mondial
Postion	Tokenization
1	Ses
2	bonnes
3	performances
4	lui
5	ont
6	permis
7	aussi
8	de
9	se
10	trouver
11	dans
12	le
13	top
14	10
15	mondial
16	au
17	à
18	le
19	classement
20	général
21	à
22	une
23	reprise
24	en
25	2011
26	avec
27	le
28	rang
29	mondial
Position	Tokenization	UPOS	Head	Deprel
1	Ses	DET	3	det
2	bonnes	ADJ	3	amod
3	performances	NOUN	6	nsubj
4	lui	PRON	6	obl:arg
5	ont	AUX	6	aux:tense
6	permis	VERB	0	root
7	aussi	ADV	6	advmod
8	de	ADP	10	mark
9	se	PRON	10	expl:pass
10	trouver	VERB	6	xcomp:obj
11	dans	ADP	13	case
12	le	DET	13	det
13	top	NOUN	10	obl:arg
14	10	NUM	13	nmod
15	mondial	ADJ	13	amod
16	au	_	None	_
17	à	ADP	18	case
18	le	DET	18	det
19	classement	NOUN	10	obl:mod
20	général	ADJ	18	amod
21	à	ADP	22	case
22	une	DET	22	det
23	reprise	NOUN	18	nmod
24	en	ADP	24	case
25	2011	NUM	10	obl:mod
26	avec	ADP	27	case
27	le	DET	27	det
28	rang	NOUN	10	obl:mod
29	mondial	ADJ	27	amod