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:
Les 92 premiers épisodes se déroulent dans la même entreprise, avec des décors différents (les murs sont peints entièrement en blanc) et mettent en scène des personnages qui disparaîtront par la suite.
Postion	Tokenization
1	Les
2	92
3	premiers
4	épisodes
5	se
6	déroulent
7	dans
8	la
9	même
10	entreprise
11	,
12	avec
13	des
14	décors
15	différents
16	(
17	les
18	murs
19	sont
20	peints
21	entièrement
22	en
23	blanc
24	)
25	et
26	mettent
27	en
28	scène
29	des
30	personnages
31	qui
32	disparaîtront
33	par
34	la
35	suite
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Les	DET	4	det
2	92	NUM	4	nummod
3	premiers	ADJ	4	amod
4	épisodes	NOUN	6	nsubj
5	se	PRON	6	dep:comp
6	déroulent	VERB	0	root
7	dans	ADP	10	case
8	la	DET	10	det
9	même	ADJ	10	amod
10	entreprise	NOUN	6	obl:mod
11	,	PUNCT	14	punct
12	avec	ADP	14	case
13	des	DET	14	det
14	décors	NOUN	6	obl:mod
15	différents	ADJ	14	amod
16	(	PUNCT	20	punct
17	les	DET	18	det
18	murs	NOUN	20	nsubj
19	sont	AUX	20	aux:tense
20	peints	VERB	14	parataxis
21	entièrement	ADV	20	advmod
22	en	ADP	23	case
23	blanc	NOUN	20	obl:mod
24	)	PUNCT	20	punct
25	et	CCONJ	26	cc
26	mettent	VERB	6	conj
27	en	ADP	28	case
28	scène	NOUN	26	obl:mod
29	des	DET	30	det
30	personnages	NOUN	26	obj
31	qui	PRON	32	nsubj
32	disparaîtront	VERB	30	acl:relcl
33	par	ADP	35	case
34	la	DET	35	det
35	suite	NOUN	32	obl:mod
36	.	PUNCT	6	punct