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:
L'exécutif européen avait lancé une enquête approfondie en septembre, s'inquiétant de possibles conséquences en terme de concurrence concernant les bases de données MySQL de Sun.
Postion	Tokenization
1	L'
2	exécutif
3	européen
4	avait
5	lancé
6	une
7	enquête
8	approfondie
9	en
10	septembre
11	,
12	s'
13	inquiétant
14	de
15	possibles
16	conséquences
17	en
18	terme
19	de
20	concurrence
21	concernant
22	les
23	bases
24	de
25	données
26	MySQL
27	de
28	Sun
29	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	exécutif	NOUN	5	nsubj
3	européen	ADJ	2	amod
4	avait	AUX	5	aux:tense
5	lancé	VERB	0	root
6	une	DET	7	det
7	enquête	NOUN	5	obj
8	approfondie	ADJ	7	amod
9	en	ADP	10	case
10	septembre	NOUN	5	obl:mod
11	,	PUNCT	13	punct
12	s'	PRON	13	dep:comp
13	inquiétant	VERB	5	advcl
14	de	ADP	16	case
15	possibles	ADJ	16	amod
16	conséquences	NOUN	13	obl:arg
17	en	ADP	18	case
18	terme	NOUN	13	obl:mod
19	de	ADP	20	case
20	concurrence	NOUN	18	nmod
21	concernant	VERB	20	acl
22	les	DET	23	det
23	bases	NOUN	21	obj
24	de	ADP	25	case
25	données	NOUN	23	nmod
26	MySQL	PROPN	23	appos
27	de	ADP	28	case
28	Sun	PROPN	23	nmod
29	.	PUNCT	5	punct