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:
El dólar y el euro subieron gracias a la confianza que hay por el futuro de ambas economías, que en este momento están mejor que la japonesa, donde la demanda interna es todavía muy débil.
Postion	Tokenization
1	El
2	dólar
3	y
4	el
5	euro
6	subieron
7	gracias
8	a
9	la
10	confianza
11	que
12	hay
13	por
14	el
15	futuro
16	de
17	ambas
18	economías
19	,
20	que
21	en
22	este
23	momento
24	están
25	mejor
26	que
27	la
28	japonesa
29	,
30	donde
31	la
32	demanda
33	interna
34	es
35	todavía
36	muy
37	débil
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	dólar	NOUN	6	nsubj
3	y	CCONJ	5	cc
4	el	DET	5	det
5	euro	NOUN	2	conj
6	subieron	VERB	0	root
7	gracias	NOUN	10	case
8	a	ADP	7	fixed
9	la	DET	10	det
10	confianza	NOUN	6	obl
11	que	PRON	12	obj
12	hay	AUX	10	acl
13	por	ADP	15	case
14	el	DET	15	det
15	futuro	NOUN	12	obl
16	de	ADP	18	case
17	ambas	NUM	18	nummod
18	economías	NOUN	15	nmod
19	,	PUNCT	25	punct
20	que	PRON	25	nsubj
21	en	ADP	23	case
22	este	DET	23	det
23	momento	NOUN	25	obl
24	están	AUX	25	cop
25	mejor	ADJ	18	acl
26	que	SCONJ	37	mark
27	la	DET	37	det
28	japonesa	ADJ	37	amod
29	,	PUNCT	37	punct
30	donde	PRON	37	obl
31	la	DET	32	det
32	demanda	NOUN	37	nsubj
33	interna	ADJ	32	amod
34	es	AUX	37	cop
35	todavía	ADV	37	advmod
36	muy	ADV	37	advmod
37	débil	ADJ	25	advcl
38	.	PUNCT	6	punct