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 2009, elle crée la sensation en participant au championnat d'Europe de tennis de table 2009 à Stuttgart alors qu'elle n'est âgée que de seulement 11 ans.
Postion	Tokenization
1	En
2	2009
3	,
4	elle
5	crée
6	la
7	sensation
8	en
9	participant
10	au
11	à
12	le
13	championnat
14	d'
15	Europe
16	de
17	tennis
18	de
19	table
20	2009
21	à
22	Stuttgart
23	alors
24	qu'
25	elle
26	n'
27	est
28	âgée
29	que
30	de
31	seulement
32	11
33	ans
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	2009	NUM	5	obl:mod
3	,	PUNCT	2	punct
4	elle	PRON	5	nsubj
5	crée	VERB	0	root
6	la	DET	7	det
7	sensation	NOUN	5	obj
8	en	ADP	9	mark
9	participant	VERB	5	advcl
10	au	_	None	_
11	à	ADP	12	case
12	le	DET	12	det
13	championnat	NOUN	9	obl:arg
14	d'	ADP	14	case
15	Europe	PROPN	12	nmod
16	de	ADP	16	case
17	tennis	NOUN	12	nmod
18	de	ADP	18	case
19	table	NOUN	16	nmod
20	2009	NUM	12	nmod
21	à	ADP	21	case
22	Stuttgart	PROPN	12	nmod
23	alors	ADV	27	mark
24	qu'	SCONJ	22	fixed
25	elle	PRON	27	nsubj
26	n'	ADV	27	advmod
27	est	AUX	27	cop
28	âgée	ADJ	5	advcl
29	que	ADV	32	advmod
30	de	ADP	32	case
31	seulement	ADV	31	advmod
32	11	NUM	32	nummod
33	ans	NOUN	27	obl:arg
34	.	PUNCT	5	punct