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:
Jörg Frick, el abogado de la ex campeona, sin entrar a comentar las cifras, ha confirmado que su cliente ha retirado la demanda contra el fisco y ha aceptado pagar sus deudas, porque no ha tenido que hacer frente al pago de impuestos en Estados Unidos, donde tiene fijada actualmente su residencia.
Postion	Tokenization
1	Jörg
2	Frick
3	,
4	el
5	abogado
6	de
7	la
8	ex
9	campeona
10	,
11	sin
12	entrar
13	a
14	comentar
15	las
16	cifras
17	,
18	ha
19	confirmado
20	que
21	su
22	cliente
23	ha
24	retirado
25	la
26	demanda
27	contra
28	el
29	fisco
30	y
31	ha
32	aceptado
33	pagar
34	sus
35	deudas
36	,
37	porque
38	no
39	ha
40	tenido
41	que
42	hacer
43	frente
44	al
45	pago
46	de
47	impuestos
48	en
49	Estados
50	Unidos
51	,
52	donde
53	tiene
54	fijada
55	actualmente
56	su
57	residencia
58	.
Position	Tokenization	UPOS	Head	Deprel
1	Jörg	PROPN	19	nsubj
2	Frick	PROPN	1	flat
3	,	PUNCT	5	punct
4	el	DET	5	det
5	abogado	NOUN	1	appos
6	de	ADP	9	case
7	la	DET	9	det
8	ex	ADJ	9	amod
9	campeona	NOUN	5	nmod
10	,	PUNCT	5	punct
11	sin	ADP	12	mark
12	entrar	VERB	19	advcl
13	a	ADP	14	mark
14	comentar	VERB	12	xcomp
15	las	DET	16	det
16	cifras	NOUN	14	obj
17	,	PUNCT	12	punct
18	ha	AUX	19	aux
19	confirmado	VERB	0	root
20	que	SCONJ	24	mark
21	su	DET	22	det
22	cliente	NOUN	24	nsubj
23	ha	AUX	24	aux
24	retirado	VERB	19	ccomp
25	la	DET	26	det
26	demanda	NOUN	24	obj
27	contra	ADP	29	case
28	el	DET	29	det
29	fisco	NOUN	26	nmod
30	y	CCONJ	32	cc
31	ha	AUX	32	aux
32	aceptado	VERB	24	conj
33	pagar	VERB	32	xcomp
34	sus	DET	35	det
35	deudas	NOUN	33	obj
36	,	PUNCT	40	punct
37	porque	SCONJ	42	mark
38	no	ADV	42	advmod
39	ha	AUX	42	aux
40	tenido	VERB	32	advcl
41	que	SCONJ	42	cc
42	hacer	VERB	40	conj
43	frente	NOUN	42	compound
44	al	ADP	45	case
45	pago	NOUN	42	obj
46	de	ADP	47	case
47	impuestos	NOUN	45	nmod
48	en	ADP	49	case
49	Estados	PROPN	42	obl
50	Unidos	PROPN	49	flat
51	,	PUNCT	53	punct
52	donde	PRON	53	obl
53	tiene	VERB	49	acl
54	fijada	ADJ	53	obj
55	actualmente	ADV	53	advmod
56	su	DET	57	det
57	residencia	NOUN	53	obj
58	.	PUNCT	19	punct