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:
Selon des données de l'ONU, la consommation d'opiacés à augmenté de 35,5% entre 1998 et 2008, celle de cocaïne de 27% et celle de cannabis de 8,5%.
Postion	Tokenization
1	Selon
2	des
3	données
4	de
5	l'
6	ONU
7	,
8	la
9	consommation
10	d'
11	opiacés
12	à
13	augmenté
14	de
15	35,5
16	%
17	entre
18	1998
19	et
20	2008
21	,
22	celle
23	de
24	cocaïne
25	de
26	27
27	%
28	et
29	celle
30	de
31	cannabis
32	de
33	8,5
34	%
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Selon	ADP	3	case
2	des	DET	3	det
3	données	NOUN	13	obl:mod
4	de	ADP	6	case
5	l'	DET	6	det
6	ONU	PROPN	3	nmod
7	,	PUNCT	3	punct
8	la	DET	9	det
9	consommation	NOUN	13	nsubj
10	d'	ADP	11	case
11	opiacés	NOUN	9	nmod
12	à	AUX	13	aux:tense
13	augmenté	VERB	0	root
14	de	ADP	16	case
15	35,5	NUM	16	nummod
16	%	SYM	13	obl:mod
17	entre	ADP	18	case
18	1998	NUM	13	obl:mod
19	et	CCONJ	20	cc
20	2008	NUM	18	conj
21	,	PUNCT	22	punct
22	celle	PRON	13	conj
23	de	ADP	24	case
24	cocaïne	NOUN	22	nmod
25	de	ADP	27	case
26	27	NUM	27	nummod
27	%	SYM	24	nmod
28	et	CCONJ	29	cc
29	celle	PRON	13	conj
30	de	ADP	31	case
31	cannabis	NOUN	29	nmod
32	de	ADP	34	case
33	8,5	NUM	34	nummod
34	%	SYM	31	nmod
35	.	PUNCT	13	punct