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:
Avec plus de cent mille sauts par an, Skydive Empuriabrava se classe parmi les plus grands centres de prachutisme du monde, sans doute à la première place.
Postion	Tokenization
1	Avec
2	plus
3	de
4	cent
5	mille
6	sauts
7	par
8	an
9	,
10	Skydive
11	Empuriabrava
12	se
13	classe
14	parmi
15	les
16	plus
17	grands
18	centres
19	de
20	prachutisme
21	du
22	de
23	le
24	monde
25	,
26	sans
27	doute
28	à
29	la
30	première
31	place
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Avec	ADP	2	case
2	plus	ADV	13	obl:mod
3	de	ADP	6	case
4	cent	NUM	6	nummod
5	mille	NUM	4	flat
6	sauts	NOUN	2	dep:comp
7	par	ADP	8	case
8	an	NOUN	6	nmod
9	,	PUNCT	6	punct
10	Skydive	PROPN	13	nsubj:pass
11	Empuriabrava	PROPN	10	flat:name
12	se	PRON	13	expl:pass
13	classe	VERB	0	root
14	parmi	ADP	18	case
15	les	DET	18	det
16	plus	ADV	17	advmod
17	grands	ADJ	18	amod
18	centres	NOUN	13	obl:mod
19	de	ADP	20	case
20	prachutisme	NOUN	18	nmod
21	du	_	None	_
22	de	ADP	23	case
23	le	DET	23	det
24	monde	NOUN	18	nmod
25	,	PUNCT	30	punct
26	sans	ADP	30	advmod
27	doute	NOUN	25	fixed
28	à	ADP	30	case
29	la	DET	30	det
30	première	ADJ	30	amod
31	place	NOUN	13	obl:mod
32	.	PUNCT	13	punct