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:
Une étude statistique a relevé une diminution de 52% de la mortalité de jeunes cyclistes en Ontario après le passage de la loi rendant obligatoire le port du casque chez ces derniers.
Postion	Tokenization
1	Une
2	étude
3	statistique
4	a
5	relevé
6	une
7	diminution
8	de
9	52
10	%
11	de
12	la
13	mortalité
14	de
15	jeunes
16	cyclistes
17	en
18	Ontario
19	après
20	le
21	passage
22	de
23	la
24	loi
25	rendant
26	obligatoire
27	le
28	port
29	du
30	de
31	le
32	casque
33	chez
34	ces
35	derniers
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Une	DET	2	det
2	étude	NOUN	5	nsubj
3	statistique	ADJ	2	amod
4	a	AUX	5	aux:tense
5	relevé	VERB	0	root
6	une	DET	7	det
7	diminution	NOUN	5	obj
8	de	ADP	10	case
9	52	NUM	10	nummod
10	%	SYM	7	nmod
11	de	ADP	13	case
12	la	DET	13	det
13	mortalité	NOUN	7	nmod
14	de	ADP	16	case
15	jeunes	ADJ	16	amod
16	cyclistes	NOUN	13	nmod
17	en	ADP	18	case
18	Ontario	PROPN	5	obl:mod
19	après	ADP	21	case
20	le	DET	21	det
21	passage	NOUN	5	obl:mod
22	de	ADP	24	case
23	la	DET	24	det
24	loi	NOUN	21	nmod
25	rendant	VERB	24	acl
26	obligatoire	ADJ	25	xcomp:pred
27	le	DET	28	det
28	port	NOUN	25	obj
29	du	_	None	_
30	de	ADP	31	case
31	le	DET	31	det
32	casque	NOUN	28	nmod
33	chez	ADP	34	case
34	ces	DET	34	det
35	derniers	ADJ	28	nmod
36	.	PUNCT	5	punct