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:
L'épisode Toute la vérité, rien que la vérité marque la première des 24 apparitions de l'avocat Lionel Hutz et de son doubleur Phil Hartman.
Postion	Tokenization
1	L'
2	épisode
3	Toute
4	la
5	vérité
6	,
7	rien
8	que
9	la
10	vérité
11	marque
12	la
13	première
14	des
15	de
16	les
17	24
18	apparitions
19	de
20	l'
21	avocat
22	Lionel
23	Hutz
24	et
25	de
26	son
27	doubleur
28	Phil
29	Hartman
30	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	épisode	NOUN	11	nsubj
3	Toute	ADJ	5	amod
4	la	DET	5	det
5	vérité	NOUN	2	appos
6	,	PUNCT	10	punct
7	rien	PRON	10	advmod
8	que	ADV	7	fixed
9	la	DET	10	det
10	vérité	NOUN	5	conj
11	marque	VERB	0	root
12	la	DET	13	det
13	première	ADJ	11	obj
14	des	_	None	_
15	de	ADP	17	case
16	les	DET	17	det
17	24	NUM	17	nummod
18	apparitions	NOUN	13	nmod
19	de	ADP	20	case
20	l'	DET	20	det
21	avocat	NOUN	17	nmod
22	Lionel	PROPN	20	appos
23	Hutz	PROPN	21	flat:name
24	et	CCONJ	26	cc
25	de	ADP	26	case
26	son	DET	26	det
27	doubleur	NOUN	20	conj
28	Phil	PROPN	26	appos
29	Hartman	PROPN	27	flat:name
30	.	PUNCT	11	punct