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:
D'après les premières expertises, Rees-Jones aurait été le seul des quatre occupants à avoir attaché sa ceinture de sécurité avant l'accident.
Postion	Tokenization
1	D'
2	après
3	les
4	premières
5	expertises
6	,
7	Rees-Jones
8	aurait
9	été
10	le
11	seul
12	des
13	de
14	les
15	quatre
16	occupants
17	à
18	avoir
19	attaché
20	sa
21	ceinture
22	de
23	sécurité
24	avant
25	l'
26	accident
27	.
Position	Tokenization	UPOS	Head	Deprel
1	D'	ADP	5	case
2	après	ADP	1	fixed
3	les	DET	5	det
4	premières	ADJ	5	amod
5	expertises	NOUN	11	obl:mod
6	,	PUNCT	5	punct
7	Rees-Jones	PROPN	11	nsubj
8	aurait	AUX	11	aux:tense
9	été	AUX	11	cop
10	le	DET	11	det
11	seul	ADJ	0	root
12	des	_	None	_
13	de	ADP	15	case
14	les	DET	15	det
15	quatre	NUM	15	nummod
16	occupants	NOUN	11	nmod
17	à	ADP	18	mark
18	avoir	AUX	18	aux:tense
19	attaché	VERB	11	ccomp:obl
20	sa	DET	20	det
21	ceinture	NOUN	18	obj
22	de	ADP	22	case
23	sécurité	NOUN	20	nmod
24	avant	ADP	25	case
25	l'	DET	25	det
26	accident	NOUN	18	obl:mod
27	.	PUNCT	11	punct