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:
Egipto necesita más de 250 millones de dólares para eliminar los campos de minas de distintos tipos que se encuentran en diferentes zonas de este país, dijo el ministro egipcio de Asuntos Exteriores, Amro Musa.
Postion	Tokenization
1	Egipto
2	necesita
3	más
4	de
5	250
6	millones
7	de
8	dólares
9	para
10	eliminar
11	los
12	campos
13	de
14	minas
15	de
16	distintos
17	tipos
18	que
19	se
20	encuentran
21	en
22	diferentes
23	zonas
24	de
25	este
26	país
27	,
28	dijo
29	el
30	ministro
31	egipcio
32	de
33	Asuntos
34	Exteriores
35	,
36	Amro
37	Musa
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Egipto	PROPN	2	nsubj
2	necesita	VERB	28	ccomp
3	más	ADV	6	advmod
4	de	ADP	3	case
5	250	NUM	3	nummod
6	millones	NOUN	2	obj
7	de	ADP	8	case
8	dólares	NOUN	6	nmod
9	para	ADP	10	mark
10	eliminar	VERB	2	advcl
11	los	DET	12	det
12	campos	NOUN	10	obj
13	de	ADP	14	case
14	minas	NOUN	12	nmod
15	de	ADP	17	case
16	distintos	DET	17	det
17	tipos	NOUN	14	nmod
18	que	PRON	20	nsubj
19	se	PRON	20	expl:pv
20	encuentran	VERB	12	acl
21	en	ADP	23	case
22	diferentes	DET	23	det
23	zonas	NOUN	20	obl
24	de	ADP	26	case
25	este	DET	26	det
26	país	NOUN	23	nmod
27	,	PUNCT	2	punct
28	dijo	VERB	0	root
29	el	DET	30	det
30	ministro	NOUN	28	nsubj
31	egipcio	ADJ	30	amod
32	de	ADP	33	case
33	Asuntos	PROPN	30	nmod
34	Exteriores	PROPN	33	flat
35	,	PUNCT	36	punct
36	Amro	PROPN	30	appos
37	Musa	PROPN	36	flat
38	.	PUNCT	28	punct