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:
De même, les achats de produits en textile et cuir ont diminué de 1% en décembre, mais le secteur renoue avec la croissance sur un an (+1,8%) après deux années de recul.
Postion	Tokenization
1	De
2	même
3	,
4	les
5	achats
6	de
7	produits
8	en
9	textile
10	et
11	cuir
12	ont
13	diminué
14	de
15	1
16	%
17	en
18	décembre
19	,
20	mais
21	le
22	secteur
23	renoue
24	avec
25	la
26	croissance
27	sur
28	un
29	an
30	(
31	+1,8
32	%
33	)
34	après
35	deux
36	années
37	de
38	recul
39	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	13	advmod
2	même	ADV	1	fixed
3	,	PUNCT	1	punct
4	les	DET	5	det
5	achats	NOUN	13	nsubj
6	de	ADP	7	case
7	produits	NOUN	5	nmod
8	en	ADP	9	case
9	textile	NOUN	7	nmod
10	et	CCONJ	11	cc
11	cuir	NOUN	9	conj
12	ont	AUX	13	aux:tense
13	diminué	VERB	0	root
14	de	ADP	16	case
15	1	NUM	16	nummod
16	%	SYM	13	obl:mod
17	en	ADP	18	case
18	décembre	NOUN	13	obl:mod
19	,	PUNCT	23	punct
20	mais	CCONJ	23	cc
21	le	DET	22	det
22	secteur	NOUN	23	nsubj
23	renoue	VERB	13	conj
24	avec	ADP	26	case
25	la	DET	26	det
26	croissance	NOUN	23	obl:mod
27	sur	ADP	29	case
28	un	NUM	29	nummod
29	an	NOUN	23	obl:mod
30	(	PUNCT	32	punct
31	+1,8	NUM	32	nummod
32	%	SYM	26	nmod
33	)	PUNCT	32	punct
34	après	ADP	36	case
35	deux	NUM	36	nummod
36	années	NOUN	23	obl:mod
37	de	ADP	38	case
38	recul	NOUN	36	nmod
39	.	PUNCT	13	punct