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:
Entre las minas antitanque que hay en el desierto occidental y las antipersonal colocadas por los israelíes en el Sinaí durante los años que ocuparon esa península egipcia, se calcula que en Egipto hay unos 21 millones de estos mortíferos artefactos, lo que le convierte en el país del mundo con más minas bajo su suelo.
Postion	Tokenization
1	Entre
2	las
3	minas
4	antitanque
5	que
6	hay
7	en
8	el
9	desierto
10	occidental
11	y
12	las
13	antipersonal
14	colocadas
15	por
16	los
17	israelíes
18	en
19	el
20	Sinaí
21	durante
22	los
23	años
24	que
25	ocuparon
26	esa
27	península
28	egipcia
29	,
30	se
31	calcula
32	que
33	en
34	Egipto
35	hay
36	unos
37	21
38	millones
39	de
40	estos
41	mortíferos
42	artefactos
43	,
44	lo
45	que
46	le
47	convierte
48	en
49	el
50	país
51	del
52	mundo
53	con
54	más
55	minas
56	bajo
57	su
58	suelo
59	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	3	case
2	las	DET	3	det
3	minas	NOUN	31	obl
4	antitanque	ADJ	3	amod
5	que	PRON	6	obj
6	hay	AUX	3	acl
7	en	ADP	9	case
8	el	DET	9	det
9	desierto	NOUN	6	obl
10	occidental	ADJ	9	amod
11	y	CCONJ	14	cc
12	las	DET	14	det
13	antipersonal	ADJ	14	amod
14	colocadas	ADJ	3	conj
15	por	ADP	17	case
16	los	DET	17	det
17	israelíes	NOUN	14	obj
18	en	ADP	20	case
19	el	DET	20	det
20	Sinaí	PROPN	14	obl
21	durante	ADP	23	case
22	los	DET	23	det
23	años	NOUN	14	obl
24	que	PRON	25	obl
25	ocuparon	VERB	23	acl
26	esa	DET	27	det
27	península	NOUN	25	obj
28	egipcia	ADJ	27	amod
29	,	PUNCT	3	punct
30	se	PRON	31	expl:pass
31	calcula	VERB	0	root
32	que	SCONJ	35	mark
33	en	ADP	34	case
34	Egipto	PROPN	35	obl
35	hay	AUX	31	csubj
36	unos	PRON	37	nmod
37	21	NUM	38	nummod
38	millones	NOUN	35	obj
39	de	ADP	42	case
40	estos	DET	42	det
41	mortíferos	ADJ	42	amod
42	artefactos	NOUN	38	nmod
43	,	PUNCT	47	punct
44	lo	PRON	47	det
45	que	PRON	47	nsubj
46	le	PRON	47	obj
47	convierte	VERB	31	advcl
48	en	ADP	50	case
49	el	DET	50	det
50	país	NOUN	47	iobj
51	del	ADP	52	case
52	mundo	NOUN	50	nmod
53	con	ADP	55	case
54	más	ADV	55	advmod
55	minas	NOUN	50	nmod
56	bajo	ADP	58	case
57	su	DET	58	det
58	suelo	NOUN	55	nmod
59	.	PUNCT	31	punct