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 yen registró momentos de alza efímeros debido a que la confianza de los inversores en la divisa nipona ha disminuído por el sentimiento de que la actividad económica japonesa está en descenso y un impuesto a los principales bancos situados en Tokio que, de ser aprobado, reducirá los beneficios de esas entidades.
Postion	Tokenization
1	El
2	yen
3	registró
4	momentos
5	de
6	alza
7	efímeros
8	debido
9	a
10	que
11	la
12	confianza
13	de
14	los
15	inversores
16	en
17	la
18	divisa
19	nipona
20	ha
21	disminuído
22	por
23	el
24	sentimiento
25	de
26	que
27	la
28	actividad
29	económica
30	japonesa
31	está
32	en
33	descenso
34	y
35	un
36	impuesto
37	a
38	los
39	principales
40	bancos
41	situados
42	en
43	Tokio
44	que
45	,
46	de
47	ser
48	aprobado
49	,
50	reducirá
51	los
52	beneficios
53	de
54	esas
55	entidades
56	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	yen	NOUN	3	nsubj
3	registró	VERB	0	root
4	momentos	NOUN	3	obj
5	de	ADP	6	case
6	alza	NOUN	4	nmod
7	efímeros	ADJ	4	amod
8	debido	ADJ	21	mark
9	a	ADP	8	fixed
10	que	SCONJ	21	mark
11	la	DET	12	det
12	confianza	NOUN	21	nsubj
13	de	ADP	15	case
14	los	DET	15	det
15	inversores	NOUN	12	nmod
16	en	ADP	18	case
17	la	DET	18	det
18	divisa	NOUN	12	nmod
19	nipona	ADJ	18	amod
20	ha	AUX	21	aux
21	disminuído	VERB	3	advcl
22	por	ADP	24	case
23	el	DET	24	det
24	sentimiento	NOUN	21	obl
25	de	ADP	33	mark
26	que	SCONJ	33	mark
27	la	DET	28	det
28	actividad	NOUN	33	nsubj
29	económica	ADJ	28	amod
30	japonesa	ADJ	28	amod
31	está	AUX	33	cop
32	en	ADP	33	case
33	descenso	NOUN	24	acl
34	y	CCONJ	50	cc
35	un	DET	36	det
36	impuesto	NOUN	50	nsubj
37	a	ADP	40	case
38	los	DET	40	det
39	principales	ADJ	40	amod
40	bancos	NOUN	36	nmod
41	situados	ADJ	40	amod
42	en	ADP	43	case
43	Tokio	PROPN	41	obl
44	que	PRON	36	nmod
45	,	PUNCT	48	punct
46	de	ADP	48	mark
47	ser	AUX	48	aux
48	aprobado	VERB	44	acl
49	,	PUNCT	48	punct
50	reducirá	VERB	3	conj
51	los	DET	52	det
52	beneficios	NOUN	50	obj
53	de	ADP	55	case
54	esas	DET	55	det
55	entidades	NOUN	52	nmod
56	.	PUNCT	3	punct