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:
Sabu devait affronter le nouveau CWA Heavyweight Champion, Raven, le 10 mai à Fayetteville, mais ne put participer au match à cause d'une blessure.
Postion	Tokenization
1	Sabu
2	devait
3	affronter
4	le
5	nouveau
6	CWA
7	Heavyweight
8	Champion
9	,
10	Raven
11	,
12	le
13	10
14	mai
15	à
16	Fayetteville
17	,
18	mais
19	ne
20	put
21	participer
22	au
23	à
24	le
25	match
26	à
27	cause
28	d'
29	une
30	blessure
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Sabu	PROPN	2	nsubj
2	devait	VERB	0	root
3	affronter	VERB	2	xcomp:obj
4	le	DET	6	det
5	nouveau	ADJ	6	amod
6	CWA	PROPN	3	obj
7	Heavyweight	NOUN	6	nmod
8	Champion	NOUN	6	nmod
9	,	PUNCT	10	punct
10	Raven	PROPN	6	appos
11	,	PUNCT	13	punct
12	le	DET	13	det
13	10	NUM	3	obl:mod
14	mai	NOUN	13	nmod
15	à	ADP	16	case
16	Fayetteville	PROPN	3	obl:mod
17	,	PUNCT	20	punct
18	mais	CCONJ	20	cc
19	ne	ADV	20	advmod
20	put	VERB	2	conj
21	participer	VERB	20	xcomp:obj
22	au	_	None	_
23	à	ADP	24	case
24	le	DET	24	det
25	match	NOUN	21	obl:arg
26	à	ADP	21	advmod
27	cause	NOUN	25	fixed
28	d'	ADP	29	case
29	une	DET	29	det
30	blessure	NOUN	25	obl:arg
31	.	PUNCT	2	punct