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:
Toutefois, Nick Diaz ne s'étant pas présenté à deux évènements consécutifs de promotion du combat, le président de l'UFC l'a remplacé par Carlos Condit.
Postion	Tokenization
1	Toutefois
2	,
3	Nick
4	Diaz
5	ne
6	s'
7	étant
8	pas
9	présenté
10	à
11	deux
12	évènements
13	consécutifs
14	de
15	promotion
16	du
17	de
18	le
19	combat
20	,
21	le
22	président
23	de
24	l'
25	UFC
26	l'
27	a
28	remplacé
29	par
30	Carlos
31	Condit
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Toutefois	ADV	27	advmod
2	,	PUNCT	1	punct
3	Nick	PROPN	9	nsubj
4	Diaz	PROPN	3	flat:name
5	ne	ADV	9	advmod
6	s'	PRON	9	obj
7	étant	AUX	9	aux:tense
8	pas	ADV	9	advmod
9	présenté	VERB	27	advcl
10	à	ADP	12	case
11	deux	NUM	12	nummod
12	évènements	NOUN	9	obl:arg
13	consécutifs	ADJ	12	amod
14	de	ADP	15	case
15	promotion	NOUN	12	nmod
16	du	_	None	_
17	de	ADP	18	case
18	le	DET	18	det
19	combat	NOUN	15	nmod
20	,	PUNCT	9	punct
21	le	DET	21	det
22	président	NOUN	27	nsubj
23	de	ADP	24	case
24	l'	DET	24	det
25	UFC	PROPN	21	nmod
26	l'	PRON	27	obj
27	a	AUX	27	aux:tense
28	remplacé	VERB	0	root
29	par	ADP	29	case
30	Carlos	PROPN	27	obl:agent
31	Condit	PROPN	29	flat:name
32	.	PUNCT	27	punct