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:
Le chiffre d'affaires a reculé de 18% à 3,845 milliards de francs, a indiqué vendredi l'entreprise, qui vend des outils, systèmes et services aux professionnels de la construction.
Postion	Tokenization
1	Le
2	chiffre
3	d'
4	affaires
5	a
6	reculé
7	de
8	18
9	%
10	à
11	3,845
12	milliards
13	de
14	francs
15	,
16	a
17	indiqué
18	vendredi
19	l'
20	entreprise
21	,
22	qui
23	vend
24	des
25	outils
26	,
27	systèmes
28	et
29	services
30	aux
31	à
32	les
33	professionnels
34	de
35	la
36	construction
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	chiffre	NOUN	6	nsubj
3	d'	ADP	4	case
4	affaires	NOUN	2	nmod
5	a	AUX	6	aux:tense
6	reculé	VERB	0	root
7	de	ADP	9	case
8	18	NUM	9	nummod
9	%	SYM	6	obl:arg
10	à	ADP	12	case
11	3,845	NUM	12	nummod
12	milliards	NOUN	9	nmod
13	de	ADP	14	case
14	francs	NOUN	12	nmod
15	,	PUNCT	17	punct
16	a	AUX	17	aux:tense
17	indiqué	VERB	6	parataxis
18	vendredi	NOUN	17	obl:mod
19	l'	DET	20	det
20	entreprise	NOUN	17	nsubj
21	,	PUNCT	23	punct
22	qui	PRON	23	nsubj
23	vend	VERB	20	acl:relcl
24	des	DET	25	det
25	outils	NOUN	23	obj
26	,	PUNCT	27	punct
27	systèmes	NOUN	25	conj
28	et	CCONJ	29	cc
29	services	NOUN	25	conj
30	aux	_	None	_
31	à	ADP	32	case
32	les	DET	32	det
33	professionnels	NOUN	23	obl:arg
34	de	ADP	35	case
35	la	DET	35	det
36	construction	NOUN	32	nmod
37	.	PUNCT	6	punct