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:
Avec des investissements dans le nucléaire de 13,5 milliards d'euros entre 2000 et 2009, BNP Paribas est la banque n° 1 du nucléaire dans le monde.
Postion	Tokenization
1	Avec
2	des
3	investissements
4	dans
5	le
6	nucléaire
7	de
8	13,5
9	milliards
10	d'
11	euros
12	entre
13	2000
14	et
15	2009
16	,
17	BNP
18	Paribas
19	est
20	la
21	banque
22	n°
23	1
24	du
25	de
26	le
27	nucléaire
28	dans
29	le
30	monde
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Avec	ADP	3	case
2	des	DET	3	det
3	investissements	NOUN	21	obl:mod
4	dans	ADP	6	case
5	le	DET	6	det
6	nucléaire	NOUN	3	nmod
7	de	ADP	9	case
8	13,5	NUM	9	nummod
9	milliards	NOUN	3	nmod
10	d'	ADP	11	case
11	euros	NOUN	9	nmod
12	entre	ADP	13	case
13	2000	NUM	3	nmod
14	et	CCONJ	15	cc
15	2009	NUM	13	conj
16	,	PUNCT	3	punct
17	BNP	PROPN	21	nsubj
18	Paribas	PROPN	17	flat:name
19	est	AUX	21	cop
20	la	DET	21	det
21	banque	NOUN	0	root
22	n°	SYM	21	nmod
23	1	NUM	22	nmod
24	du	_	None	_
25	de	ADP	26	case
26	le	DET	26	det
27	nucléaire	NOUN	21	nmod
28	dans	ADP	29	case
29	le	DET	29	det
30	monde	NOUN	21	nmod
31	.	PUNCT	21	punct