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 banqueros de Fráncfort se enfrentan ahora a la necesidad de tener que modificar de nuevo los tasas más pronto que tarde, para recortar al menos la distancia con el 6,5 por ciento que cuesta el dinero en EEUU desde el incremento de medio punto decidido por la Reserva Federal el pasado 16 de mayo.
Postion	Tokenization
1	Los
2	banqueros
3	de
4	Fráncfort
5	se
6	enfrentan
7	ahora
8	a
9	la
10	necesidad
11	de
12	tener
13	que
14	modificar
15	de
16	nuevo
17	los
18	tasas
19	más
20	pronto
21	que
22	tarde
23	,
24	para
25	recortar
26	al
27	menos
28	la
29	distancia
30	con
31	el
32	6,5
33	por
34	ciento
35	que
36	cuesta
37	el
38	dinero
39	en
40	EEUU
41	desde
42	el
43	incremento
44	de
45	medio
46	punto
47	decidido
48	por
49	la
50	Reserva
51	Federal
52	el
53	pasado
54	16
55	de
56	mayo
57	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	banqueros	NOUN	6	nsubj
3	de	ADP	4	case
4	Fráncfort	PROPN	2	nmod
5	se	PRON	6	expl:pv
6	enfrentan	VERB	0	root
7	ahora	ADV	6	advmod
8	a	ADP	10	case
9	la	DET	10	det
10	necesidad	NOUN	6	obj
11	de	ADP	12	mark
12	tener	VERB	10	acl
13	que	SCONJ	14	cc
14	modificar	VERB	12	conj
15	de	ADP	14	advmod
16	nuevo	ADJ	15	fixed
17	los	DET	18	det
18	tasas	NOUN	14	obj
19	más	ADV	20	advmod
20	pronto	ADV	14	advmod
21	que	SCONJ	22	mark
22	tarde	ADV	20	advmod
23	,	PUNCT	25	punct
24	para	ADP	25	mark
25	recortar	VERB	14	advcl
26	al	ADP	29	advmod
27	menos	ADV	26	fixed
28	la	DET	29	det
29	distancia	NOUN	25	obj
30	con	ADP	32	case
31	el	DET	32	det
32	6,5	NUM	25	obl
33	por	ADP	34	case
34	ciento	NUM	32	compound
35	que	PRON	36	obj
36	cuesta	VERB	32	advcl
37	el	DET	38	det
38	dinero	NOUN	36	nsubj
39	en	ADP	40	case
40	EEUU	PROPN	36	obl
41	desde	ADP	43	case
42	el	DET	43	det
43	incremento	NOUN	36	obl
44	de	ADP	46	case
45	medio	NUM	46	nummod
46	punto	NOUN	43	nmod
47	decidido	ADJ	43	amod
48	por	ADP	50	case
49	la	DET	50	det
50	Reserva	PROPN	47	obj
51	Federal	PROPN	50	flat
52	el	DET	54	det
53	pasado	ADJ	54	amod
54	16	NUM	47	obl
55	de	ADP	56	case
56	mayo	NOUN	54	compound
57	.	PUNCT	6	punct