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 Cairo ha solicitado reiteradamente ayuda a los países implicados en la batalla para desactivar estas minas, pero tanto Alemania como el Reino Unido no se han mostrado dispuestos a financiar una operación costosa, donde eliminar cada mina cuesta unos 100 dólares.
Postion	Tokenization
1	El
2	Cairo
3	ha
4	solicitado
5	reiteradamente
6	ayuda
7	a
8	los
9	países
10	implicados
11	en
12	la
13	batalla
14	para
15	desactivar
16	estas
17	minas
18	,
19	pero
20	tanto
21	Alemania
22	como
23	el
24	Reino
25	Unido
26	no
27	se
28	han
29	mostrado
30	dispuestos
31	a
32	financiar
33	una
34	operación
35	costosa
36	,
37	donde
38	eliminar
39	cada
40	mina
41	cuesta
42	unos
43	100
44	dólares
45	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Cairo	PROPN	4	nsubj
3	ha	AUX	4	aux
4	solicitado	VERB	0	root
5	reiteradamente	ADV	4	advmod
6	ayuda	NOUN	4	obj
7	a	ADP	9	case
8	los	DET	9	det
9	países	NOUN	4	obj
10	implicados	ADJ	9	amod
11	en	ADP	13	case
12	la	DET	13	det
13	batalla	NOUN	10	obj
14	para	ADP	15	mark
15	desactivar	VERB	4	advcl
16	estas	DET	17	det
17	minas	NOUN	15	obj
18	,	PUNCT	29	punct
19	pero	CCONJ	29	cc
20	tanto	ADV	21	cc
21	Alemania	PROPN	29	nsubj
22	como	SCONJ	24	cc
23	el	DET	24	det
24	Reino	PROPN	21	conj
25	Unido	PROPN	24	flat
26	no	ADV	29	advmod
27	se	PRON	29	expl:pv
28	han	AUX	29	aux
29	mostrado	VERB	4	conj
30	dispuestos	ADJ	29	obj
31	a	ADP	32	mark
32	financiar	VERB	30	xcomp
33	una	DET	34	det
34	operación	NOUN	32	obj
35	costosa	ADJ	34	amod
36	,	PUNCT	41	punct
37	donde	PRON	41	obl
38	eliminar	VERB	41	csubj
39	cada	DET	40	det
40	mina	NOUN	38	obj
41	cuesta	VERB	34	acl
42	unos	PRON	43	nmod
43	100	NUM	44	nummod
44	dólares	NOUN	41	obj
45	.	PUNCT	4	punct