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:
Le relief du département de Vaucluse présente une alternance de montagnes (les dentelles de Montmirail, le massif du Luberon, les monts de Vaucluse), de plateaux et de plaines parsemées de collines.
Postion	Tokenization
1	Le
2	relief
3	du
4	de
5	le
6	département
7	de
8	Vaucluse
9	présente
10	une
11	alternance
12	de
13	montagnes
14	(
15	les
16	dentelles
17	de
18	Montmirail
19	,
20	le
21	massif
22	du
23	de
24	le
25	Luberon
26	,
27	les
28	monts
29	de
30	Vaucluse
31	)
32	,
33	de
34	plateaux
35	et
36	de
37	plaines
38	parsemées
39	de
40	collines
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	relief	NOUN	8	nsubj
3	du	_	None	_
4	de	ADP	5	case
5	le	DET	5	det
6	département	NOUN	2	nmod
7	de	ADP	7	case
8	Vaucluse	PROPN	5	nmod
9	présente	VERB	0	root
10	une	DET	10	det
11	alternance	NOUN	8	obj
12	de	ADP	12	case
13	montagnes	NOUN	10	nmod
14	(	PUNCT	15	punct
15	les	DET	15	det
16	dentelles	NOUN	12	appos
17	de	ADP	17	case
18	Montmirail	PROPN	15	nmod
19	,	PUNCT	20	punct
20	le	DET	20	det
21	massif	NOUN	15	conj
22	du	_	None	_
23	de	ADP	23	case
24	le	DET	23	det
25	Luberon	PROPN	20	nmod
26	,	PUNCT	26	punct
27	les	DET	26	det
28	monts	NOUN	15	conj
29	de	ADP	28	case
30	Vaucluse	PROPN	26	nmod
31	)	PUNCT	15	punct
32	,	PUNCT	32	punct
33	de	ADP	32	case
34	plateaux	NOUN	12	conj
35	et	CCONJ	35	cc
36	de	ADP	35	case
37	plaines	NOUN	12	conj
38	parsemées	VERB	35	acl
39	de	ADP	38	case
40	collines	NOUN	36	obl:arg
41	.	PUNCT	8	punct