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'accent est également mis sur les deux-roues motorisés, qui représentent "environ 24% des personnes tuées sur la route pour moins de 2% du trafic".
Postion	Tokenization
1	L'
2	accent
3	est
4	également
5	mis
6	sur
7	les
8	deux-roues
9	motorisés
10	,
11	qui
12	représentent
13	"
14	environ
15	24
16	%
17	des
18	de
19	les
20	personnes
21	tuées
22	sur
23	la
24	route
25	pour
26	moins
27	de
28	2
29	%
30	du
31	de
32	le
33	trafic
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	2	det
2	accent	NOUN	5	nsubj
3	est	AUX	5	aux:tense
4	également	ADV	5	advmod
5	mis	VERB	0	root
6	sur	ADP	8	case
7	les	DET	8	det
8	deux-roues	NOUN	5	obl:mod
9	motorisés	VERB	8	acl
10	,	PUNCT	12	punct
11	qui	PRON	12	nsubj
12	représentent	VERB	8	acl:relcl
13	"	PUNCT	16	punct
14	environ	ADV	15	advmod
15	24	NUM	16	nummod
16	%	SYM	12	obj
17	des	_	None	_
18	de	ADP	19	case
19	les	DET	19	det
20	personnes	NOUN	16	nmod
21	tuées	VERB	19	acl
22	sur	ADP	23	case
23	la	DET	23	det
24	route	NOUN	20	obl:mod
25	pour	ADP	25	case
26	moins	ADV	16	nmod
27	de	ADP	28	case
28	2	NUM	28	nummod
29	%	SYM	25	dep:comp
30	du	_	None	_
31	de	ADP	31	case
32	le	DET	31	det
33	trafic	NOUN	28	nmod
34	"	PUNCT	16	punct
35	.	PUNCT	5	punct