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:
Los expertos financieros señalan que las dificultades de la corona se deben a los problemas que afronta el euro, que ayer también registró su mínimo histórico frente al dólar y al yen japonés.
Postion	Tokenization
1	Los
2	expertos
3	financieros
4	señalan
5	que
6	las
7	dificultades
8	de
9	la
10	corona
11	se
12	deben
13	a
14	los
15	problemas
16	que
17	afronta
18	el
19	euro
20	,
21	que
22	ayer
23	también
24	registró
25	su
26	mínimo
27	histórico
28	frente
29	al
30	dólar
31	y
32	al
33	yen
34	japonés
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	expertos	NOUN	4	nsubj
3	financieros	ADJ	2	amod
4	señalan	VERB	0	root
5	que	SCONJ	12	mark
6	las	DET	7	det
7	dificultades	NOUN	12	nsubj
8	de	ADP	10	case
9	la	DET	10	det
10	corona	NOUN	7	nmod
11	se	PRON	12	expl:pv
12	deben	VERB	4	ccomp
13	a	ADP	15	case
14	los	DET	15	det
15	problemas	NOUN	12	obj
16	que	PRON	17	obj
17	afronta	VERB	15	acl
18	el	DET	19	det
19	euro	NOUN	17	nsubj
20	,	PUNCT	24	punct
21	que	PRON	24	nsubj
22	ayer	ADV	24	advmod
23	también	ADV	24	advmod
24	registró	VERB	19	acl
25	su	DET	26	det
26	mínimo	NOUN	24	obj
27	histórico	ADJ	26	amod
28	frente	ADV	24	advmod
29	al	ADP	30	case
30	dólar	NOUN	28	obl
31	y	CCONJ	33	cc
32	al	ADP	33	case
33	yen	NOUN	30	conj
34	japonés	ADJ	33	amod
35	.	PUNCT	4	punct