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:
Somos 300 millones de personas que creemos en una moneda y los daneses sólo 4,5 millones ", dijo el ministro francés de Finanzas, Laurent Fabius.
Postion	Tokenization
1	Somos
2	300
3	millones
4	de
5	personas
6	que
7	creemos
8	en
9	una
10	moneda
11	y
12	los
13	daneses
14	sólo
15	4,5
16	millones
17	"
18	,
19	dijo
20	el
21	ministro
22	francés
23	de
24	Finanzas
25	,
26	Laurent
27	Fabius
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Somos	AUX	3	cop
2	300	NUM	3	nummod
3	millones	NOUN	19	ccomp
4	de	ADP	5	case
5	personas	NOUN	3	nmod
6	que	PRON	7	nsubj
7	creemos	VERB	3	acl
8	en	ADP	10	case
9	una	DET	10	det
10	moneda	NOUN	7	obj
11	y	CCONJ	13	cc
12	los	DET	13	det
13	daneses	NOUN	3	conj
14	sólo	ADV	13	advmod
15	4,5	NUM	16	nummod
16	millones	NOUN	13	appos
17	"	PUNCT	3	punct
18	,	PUNCT	3	punct
19	dijo	VERB	0	root
20	el	DET	21	det
21	ministro	NOUN	19	nsubj
22	francés	ADJ	21	amod
23	de	ADP	24	case
24	Finanzas	PROPN	21	nmod
25	,	PUNCT	26	punct
26	Laurent	PROPN	21	appos
27	Fabius	PROPN	26	flat
28	.	PUNCT	19	punct