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:
Développé à partir de 1994, mSQL comblait le trou qui existait entre les bases de données personnelles intégrées comme Microsoft Access et celles commerciales comme Oracle ou DB2.
Postion	Tokenization
1	Développé
2	à
3	partir
4	de
5	1994
6	,
7	mSQL
8	comblait
9	le
10	trou
11	qui
12	existait
13	entre
14	les
15	bases
16	de
17	données
18	personnelles
19	intégrées
20	comme
21	Microsoft
22	Access
23	et
24	celles
25	commerciales
26	comme
27	Oracle
28	ou
29	DB2
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Développé	VERB	8	advcl
2	à	ADP	1	advmod
3	partir	VERB	2	fixed
4	de	ADP	5	case
5	1994	NUM	2	obl:arg
6	,	PUNCT	1	punct
7	mSQL	PROPN	8	nsubj
8	comblait	VERB	0	root
9	le	DET	10	det
10	trou	NOUN	8	obj
11	qui	PRON	12	nsubj
12	existait	VERB	10	acl:relcl
13	entre	ADP	15	case
14	les	DET	15	det
15	bases	NOUN	12	obl:mod
16	de	ADP	17	case
17	données	NOUN	15	nmod
18	personnelles	ADJ	17	amod
19	intégrées	ADJ	17	amod
20	comme	ADP	21	case
21	Microsoft	PROPN	15	nmod
22	Access	PROPN	21	flat:name
23	et	CCONJ	24	cc
24	celles	PRON	15	conj
25	commerciales	ADJ	24	amod
26	comme	ADP	27	case
27	Oracle	PROPN	24	nmod
28	ou	CCONJ	29	cc
29	DB2	PROPN	27	conj
30	.	PUNCT	8	punct