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:
BNP Paribas perd 1,93% à 46,05 euros et Natixis 0,38% à 3,182, tandis que Société Générale prend 0,58% à 36,21 et Crédit Agricole 1,45% à 8,946.
Postion	Tokenization
1	BNP
2	Paribas
3	perd
4	1,93
5	%
6	à
7	46,05
8	euros
9	et
10	Natixis
11	0,38
12	%
13	à
14	3,182
15	,
16	tandis
17	que
18	Société
19	Générale
20	prend
21	0,58
22	%
23	à
24	36,21
25	et
26	Crédit
27	Agricole
28	1,45
29	%
30	à
31	8,946
32	.
Position	Tokenization	UPOS	Head	Deprel
1	BNP	PROPN	3	nsubj
2	Paribas	PROPN	1	flat:name
3	perd	VERB	0	root
4	1,93	NUM	5	nummod
5	%	SYM	3	obj
6	à	ADP	8	case
7	46,05	NUM	8	nummod
8	euros	NOUN	3	obl:mod
9	et	CCONJ	10	cc
10	Natixis	PROPN	3	conj
11	0,38	NUM	12	nummod
12	%	SYM	10	parataxis
13	à	ADP	14	case
14	3,182	NUM	12	nmod
15	,	PUNCT	20	punct
16	tandis	ADV	20	mark
17	que	SCONJ	16	fixed
18	Société	PROPN	20	nsubj
19	Générale	ADJ	18	amod
20	prend	VERB	3	advcl
21	0,58	NUM	22	nummod
22	%	SYM	20	obj
23	à	ADP	24	case
24	36,21	NUM	20	obl:mod
25	et	CCONJ	26	cc
26	Crédit	PROPN	20	conj
27	Agricole	ADJ	26	amod
28	1,45	NUM	29	nummod
29	%	SYM	26	parataxis
30	à	ADP	31	case
31	8,946	NUM	29	nmod
32	.	PUNCT	3	punct