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:
Après de multiples analyses sur les oeufs, la nourriture mangée par les poules ou sur les bêtes elles-mêmes, aucune explication à cette importante présence de dioxine n'est ressortie.
Postion	Tokenization
1	Après
2	de
3	multiples
4	analyses
5	sur
6	les
7	oeufs
8	,
9	la
10	nourriture
11	mangée
12	par
13	les
14	poules
15	ou
16	sur
17	les
18	bêtes
19	elles-mêmes
20	,
21	aucune
22	explication
23	à
24	cette
25	importante
26	présence
27	de
28	dioxine
29	n'
30	est
31	ressortie
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	4	case
2	de	DET	4	det
3	multiples	ADJ	4	amod
4	analyses	NOUN	31	obl:mod
5	sur	ADP	7	case
6	les	DET	7	det
7	oeufs	NOUN	4	nmod
8	,	PUNCT	10	punct
9	la	DET	10	det
10	nourriture	NOUN	7	conj
11	mangée	VERB	10	acl
12	par	ADP	14	case
13	les	DET	14	det
14	poules	NOUN	11	obl:agent
15	ou	CCONJ	18	cc
16	sur	ADP	18	case
17	les	DET	18	det
18	bêtes	NOUN	7	conj
19	elles-mêmes	PRON	18	nmod
20	,	PUNCT	4	punct
21	aucune	DET	22	det
22	explication	NOUN	31	nsubj
23	à	ADP	26	case
24	cette	DET	26	det
25	importante	ADJ	26	amod
26	présence	NOUN	22	nmod
27	de	ADP	28	case
28	dioxine	NOUN	26	nmod
29	n'	ADV	31	advmod
30	est	AUX	31	aux:tense
31	ressortie	VERB	0	root
32	.	PUNCT	31	punct