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:
"Chile decidió sembrar esos explosivos y ahora tiene que afrontar los costes del retiro porque el peligro es grande para la población de la zona", opinó Borth.
Postion	Tokenization
1	"
2	Chile
3	decidió
4	sembrar
5	esos
6	explosivos
7	y
8	ahora
9	tiene
10	que
11	afrontar
12	los
13	costes
14	del
15	retiro
16	porque
17	el
18	peligro
19	es
20	grande
21	para
22	la
23	población
24	de
25	la
26	zona
27	"
28	,
29	opinó
30	Borth
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Chile	PROPN	3	nsubj
3	decidió	VERB	29	ccomp
4	sembrar	VERB	3	xcomp
5	esos	DET	6	det
6	explosivos	NOUN	4	obj
7	y	CCONJ	9	cc
8	ahora	ADV	11	advmod
9	tiene	VERB	3	conj
10	que	SCONJ	11	cc
11	afrontar	VERB	9	conj
12	los	DET	13	det
13	costes	NOUN	11	obj
14	del	ADP	15	case
15	retiro	NOUN	13	nmod
16	porque	SCONJ	20	mark
17	el	DET	18	det
18	peligro	NOUN	20	nsubj
19	es	AUX	20	cop
20	grande	ADJ	11	advcl
21	para	ADP	23	case
22	la	DET	23	det
23	población	NOUN	20	obl
24	de	ADP	26	case
25	la	DET	26	det
26	zona	NOUN	23	nmod
27	"	PUNCT	3	punct
28	,	PUNCT	3	punct
29	opinó	VERB	0	root
30	Borth	PROPN	29	nsubj
31	.	PUNCT	29	punct