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:
La question de l'égalité « justicielle », si elle vient avant la réponse éthique, court-circuite la relation éthique.
Postion	Tokenization
1	La
2	question
3	de
4	l'
5	égalité
6	«
7	justicielle
8	»
9	,
10	si
11	elle
12	vient
13	avant
14	la
15	réponse
16	éthique
17	,
18	court-circuite
19	la
20	relation
21	éthique
22	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	question	NOUN	18	nsubj
3	de	ADP	5	case
4	l'	DET	5	det
5	égalité	NOUN	2	nmod
6	«	PUNCT	7	punct
7	justicielle	ADJ	5	amod
8	»	PUNCT	7	punct
9	,	PUNCT	12	punct
10	si	SCONJ	12	mark
11	elle	PRON	12	nsubj
12	vient	VERB	18	advcl
13	avant	ADP	15	case
14	la	DET	15	det
15	réponse	NOUN	12	obl:mod
16	éthique	ADJ	15	amod
17	,	PUNCT	16	punct
18	court-circuite	VERB	0	root
19	la	DET	20	det
20	relation	NOUN	18	obj
21	éthique	ADJ	20	amod
22	.	PUNCT	18	punct