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:
Aunque el intermediario en el traspaso, el croata Josip Kuze, afirma que el NK Zagreb no tiene ningún derecho de reclamar la diferencia de 3,8 millones - al tratarse únicamente de un desliz mecanográfico por parte alemana - la directiva del club croata ha solicitado formalmente al Werder Bremen abonar la cantidad indicada en letras.
Postion	Tokenization
1	Aunque
2	el
3	intermediario
4	en
5	el
6	traspaso
7	,
8	el
9	croata
10	Josip
11	Kuze
12	,
13	afirma
14	que
15	el
16	NK
17	Zagreb
18	no
19	tiene
20	ningún
21	derecho
22	de
23	reclamar
24	la
25	diferencia
26	de
27	3,8
28	millones
29	-
30	al
31	tratarse
32	tratar
33	se
34	únicamente
35	de
36	un
37	desliz
38	mecanográfico
39	por
40	parte
41	alemana
42	-
43	la
44	directiva
45	del
46	club
47	croata
48	ha
49	solicitado
50	formalmente
51	al
52	Werder
53	Bremen
54	abonar
55	la
56	cantidad
57	indicada
58	en
59	letras
60	.
Position	Tokenization	UPOS	Head	Deprel
1	Aunque	SCONJ	13	mark
2	el	DET	3	det
3	intermediario	NOUN	13	nsubj
4	en	ADP	6	case
5	el	DET	6	det
6	traspaso	NOUN	3	nmod
7	,	PUNCT	9	punct
8	el	DET	9	det
9	croata	NOUN	3	appos
10	Josip	PROPN	9	appos
11	Kuze	PROPN	10	flat
12	,	PUNCT	9	punct
13	afirma	VERB	48	advcl
14	que	SCONJ	19	mark
15	el	DET	16	det
16	NK	PROPN	19	nsubj
17	Zagreb	PROPN	16	flat
18	no	ADV	19	advmod
19	tiene	VERB	13	ccomp
20	ningún	DET	21	det
21	derecho	NOUN	19	obj
22	de	ADP	23	mark
23	reclamar	VERB	21	acl
24	la	DET	25	det
25	diferencia	NOUN	23	obj
26	de	ADP	28	case
27	3,8	NUM	28	nummod
28	millones	NOUN	25	nmod
29	-	PUNCT	31	punct
30	al	ADP	31	mark
31	tratarse	_	None	_
32	tratar	VERB	19	advcl
33	se	PRON	31	expl:impers
34	únicamente	ADV	31	obj
35	de	ADP	33	case
36	un	DET	36	det
37	desliz	NOUN	33	nmod
38	mecanográfico	ADJ	36	amod
39	por	ADP	39	case
40	parte	NOUN	36	nmod
41	alemana	ADJ	39	amod
42	-	PUNCT	31	punct
43	la	DET	43	det
44	directiva	NOUN	48	nsubj
45	del	ADP	45	case
46	club	NOUN	43	nmod
47	croata	ADJ	45	amod
48	ha	AUX	48	aux
49	solicitado	VERB	0	root
50	formalmente	ADV	48	advmod
51	al	ADP	51	case
52	Werder	PROPN	48	iobj
53	Bremen	PROPN	51	flat
54	abonar	VERB	48	xcomp
55	la	DET	55	det
56	cantidad	NOUN	53	obj
57	indicada	ADJ	55	amod
58	en	ADP	58	case
59	letras	NOUN	56	obl
60	.	PUNCT	48	punct