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:
Homer a également été décrit par The Sunday Times comme « la plus grande création comique de tous les temps ».
Postion	Tokenization
1	Homer
2	a
3	également
4	été
5	décrit
6	par
7	The
8	Sunday
9	Times
10	comme
11	«
12	la
13	plus
14	grande
15	création
16	comique
17	de
18	tous
19	les
20	temps
21	»
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Homer	PROPN	5	nsubj:pass
2	a	AUX	5	aux:tense
3	également	ADV	5	advmod
4	été	AUX	5	aux:pass
5	décrit	VERB	0	root
6	par	ADP	7	case
7	The	PROPN	5	obl:agent
8	Sunday	PROPN	7	flat:name
9	Times	PROPN	8	flat:name
10	comme	ADP	15	case
11	«	PUNCT	15	punct
12	la	DET	15	det
13	plus	ADV	14	advmod
14	grande	ADJ	15	amod
15	création	NOUN	5	obl:mod
16	comique	ADJ	15	amod
17	de	ADP	20	case
18	tous	ADJ	20	amod
19	les	DET	20	det
20	temps	NOUN	15	nmod
21	»	PUNCT	15	punct
22	.	PUNCT	5	punct