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:
Buda, Esztergom, Székesfehérvár et Visegrád sont parmi les villes de Hongrie qui bénéficient de l'établissement de la santé publique et l'éducation et un nouveau système légal sous le règne de Matthias.
Postion	Tokenization
1	Buda
2	,
3	Esztergom
4	,
5	Székesfehérvár
6	et
7	Visegrád
8	sont
9	parmi
10	les
11	villes
12	de
13	Hongrie
14	qui
15	bénéficient
16	de
17	l'
18	établissement
19	de
20	la
21	santé
22	publique
23	et
24	l'
25	éducation
26	et
27	un
28	nouveau
29	système
30	légal
31	sous
32	le
33	règne
34	de
35	Matthias
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Buda	PROPN	11	nsubj
2	,	PUNCT	3	punct
3	Esztergom	PROPN	1	conj
4	,	PUNCT	5	punct
5	Székesfehérvár	PROPN	1	conj
6	et	CCONJ	7	cc
7	Visegrád	PROPN	1	conj
8	sont	AUX	11	cop
9	parmi	ADP	11	case
10	les	DET	11	det
11	villes	NOUN	0	root
12	de	ADP	13	case
13	Hongrie	PROPN	11	nmod
14	qui	PRON	15	nsubj
15	bénéficient	VERB	11	acl:relcl
16	de	ADP	18	case
17	l'	DET	18	det
18	établissement	NOUN	15	obl:arg
19	de	ADP	21	case
20	la	DET	21	det
21	santé	NOUN	18	nmod
22	publique	ADJ	21	amod
23	et	CCONJ	25	cc
24	l'	DET	25	det
25	éducation	NOUN	18	conj
26	et	CCONJ	29	cc
27	un	DET	29	det
28	nouveau	ADJ	29	amod
29	système	NOUN	18	conj
30	légal	ADJ	29	amod
31	sous	ADP	33	case
32	le	DET	33	det
33	règne	NOUN	15	obl:mod
34	de	ADP	35	case
35	Matthias	PROPN	33	nmod
36	.	PUNCT	11	punct