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:
La fabricación de los 1.391 millones de billetes de euros que España debe producir el año próximo obligará al Banco de España a desembolsar 22.775 millones de pesetas, un 65% más que este ejercicio.
Postion	Tokenization
1	La
2	fabricación
3	de
4	los
5	1.391
6	millones
7	de
8	billetes
9	de
10	euros
11	que
12	España
13	debe
14	producir
15	el
16	año
17	próximo
18	obligará
19	al
20	Banco
21	de
22	España
23	a
24	desembolsar
25	22.775
26	millones
27	de
28	pesetas
29	,
30	un
31	65%
32	más
33	que
34	este
35	ejercicio
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	fabricación	NOUN	18	nsubj
3	de	ADP	6	case
4	los	DET	5	det
5	1.391	NUM	6	nummod
6	millones	NOUN	2	nmod
7	de	ADP	8	case
8	billetes	NOUN	6	nmod
9	de	ADP	10	case
10	euros	NOUN	8	nmod
11	que	PRON	14	obj
12	España	PROPN	14	nsubj
13	debe	AUX	14	aux
14	producir	VERB	6	acl
15	el	DET	16	det
16	año	NOUN	14	obl
17	próximo	ADJ	16	amod
18	obligará	VERB	0	root
19	al	ADP	20	case
20	Banco	PROPN	18	iobj
21	de	ADP	22	case
22	España	PROPN	20	flat
23	a	ADP	24	mark
24	desembolsar	VERB	18	xcomp
25	22.775	NUM	26	nummod
26	millones	NOUN	24	obj
27	de	ADP	28	case
28	pesetas	NOUN	26	nmod
29	,	PUNCT	31	punct
30	un	DET	31	det
31	65%	SYM	26	appos
32	más	ADV	31	advmod
33	que	SCONJ	35	mark
34	este	DET	35	det
35	ejercicio	NOUN	31	obl
36	.	PUNCT	18	punct