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'explication est la suivante : suite à un accident, Prévert était alors en longue convalescence et percevait une pension d'invalidité conditionnée au fait qu'il ne pouvait pas travailler.
Postion	Tokenization
1	L'
2	explication
3	est
4	la
5	suivante
6	:
7	suite
8	à
9	un
10	accident
11	,
12	Prévert
13	était
14	alors
15	en
16	longue
17	convalescence
18	et
19	percevait
20	une
21	pension
22	d'
23	invalidité
24	conditionnée
25	au
26	à
27	le
28	fait
29	qu'
30	il
31	ne
32	pouvait
33	pas
34	travailler
35	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	explication	NOUN	5	nsubj
3	est	AUX	5	cop
4	la	DET	5	det
5	suivante	NOUN	0	root
6	:	PUNCT	17	punct
7	suite	NOUN	10	case
8	à	ADP	7	fixed
9	un	DET	10	det
10	accident	NOUN	17	obl:mod
11	,	PUNCT	10	punct
12	Prévert	PROPN	17	nsubj
13	était	AUX	17	cop
14	alors	ADV	17	advmod
15	en	ADP	17	case
16	longue	ADJ	17	amod
17	convalescence	NOUN	5	parataxis
18	et	CCONJ	19	cc
19	percevait	VERB	17	conj
20	une	DET	21	det
21	pension	NOUN	19	obj
22	d'	ADP	23	case
23	invalidité	NOUN	21	nmod
24	conditionnée	VERB	21	acl
25	au	_	None	_
26	à	ADP	27	case
27	le	DET	27	det
28	fait	NOUN	24	obl:arg
29	qu'	SCONJ	31	mark
30	il	PRON	31	nsubj
31	ne	ADV	31	advmod
32	pouvait	VERB	27	acl
33	pas	ADV	31	advmod
34	travailler	VERB	31	xcomp:obj
35	.	PUNCT	5	punct