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:
Un bookmaker ou bookmakeur (ou encore preneur de paris) est une personne morale ou physique permettant de parier de l'argent sur des évènements, le plus souvent sportifs.
Postion	Tokenization
1	Un
2	bookmaker
3	ou
4	bookmakeur
5	(
6	ou
7	encore
8	preneur
9	de
10	paris
11	)
12	est
13	une
14	personne
15	morale
16	ou
17	physique
18	permettant
19	de
20	parier
21	de
22	l'
23	argent
24	sur
25	des
26	évènements
27	,
28	le
29	plus
30	souvent
31	sportifs
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Un	DET	2	det
2	bookmaker	NOUN	14	nsubj
3	ou	CCONJ	4	cc
4	bookmakeur	NOUN	2	conj
5	(	PUNCT	8	punct
6	ou	CCONJ	8	cc
7	encore	ADV	8	advmod
8	preneur	NOUN	2	conj
9	de	ADP	10	case
10	paris	NOUN	8	nmod
11	)	PUNCT	8	punct
12	est	AUX	14	cop
13	une	DET	14	det
14	personne	NOUN	0	root
15	morale	ADJ	14	amod
16	ou	CCONJ	17	cc
17	physique	ADJ	15	conj
18	permettant	VERB	14	acl
19	de	ADP	20	mark
20	parier	VERB	18	xcomp:obj
21	de	ADP	23	det
22	l'	DET	21	fixed
23	argent	NOUN	20	obj
24	sur	ADP	26	case
25	des	DET	26	det
26	évènements	NOUN	23	nmod
27	,	PUNCT	31	punct
28	le	DET	30	advmod
29	plus	ADV	28	fixed
30	souvent	ADV	31	advmod
31	sportifs	ADJ	26	amod
32	.	PUNCT	14	punct