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:
Miles de personas han muerto o sufrido amputaciones y daños irreversibles por la explosión de minas encontradas accidentalmente en Egipto, donde constantemente se registran nuevos casos.
Postion	Tokenization
1	Miles
2	de
3	personas
4	han
5	muerto
6	o
7	sufrido
8	amputaciones
9	y
10	daños
11	irreversibles
12	por
13	la
14	explosión
15	de
16	minas
17	encontradas
18	accidentalmente
19	en
20	Egipto
21	,
22	donde
23	constantemente
24	se
25	registran
26	nuevos
27	casos
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Miles	NUM	3	nummod
2	de	ADP	1	case
3	personas	NOUN	5	nsubj
4	han	AUX	5	aux
5	muerto	VERB	0	root
6	o	CCONJ	7	cc
7	sufrido	VERB	5	conj
8	amputaciones	NOUN	7	obj
9	y	CCONJ	10	cc
10	daños	NOUN	8	conj
11	irreversibles	ADJ	10	amod
12	por	ADP	14	case
13	la	DET	14	det
14	explosión	NOUN	5	obl
15	de	ADP	16	case
16	minas	NOUN	14	nmod
17	encontradas	ADJ	16	amod
18	accidentalmente	ADV	17	advmod
19	en	ADP	20	case
20	Egipto	PROPN	17	obl
21	,	PUNCT	25	punct
22	donde	PRON	25	obl
23	constantemente	ADV	25	advmod
24	se	PRON	25	expl:pass
25	registran	VERB	20	acl
26	nuevos	ADJ	27	amod
27	casos	NOUN	25	nsubj
28	.	PUNCT	5	punct