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:
"Es posible que las minas no estén donde las dejaron y que los militares chilenos no sepan dónde buscar, por eso los peligros son mayores", señaló la fuente.
Postion	Tokenization
1	"
2	Es
3	posible
4	que
5	las
6	minas
7	no
8	estén
9	donde
10	las
11	dejaron
12	y
13	que
14	los
15	militares
16	chilenos
17	no
18	sepan
19	dónde
20	buscar
21	,
22	por
23	eso
24	los
25	peligros
26	son
27	mayores
28	"
29	,
30	señaló
31	la
32	fuente
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Es	AUX	3	cop
3	posible	ADJ	30	ccomp
4	que	SCONJ	8	mark
5	las	DET	6	det
6	minas	NOUN	8	nsubj
7	no	ADV	8	advmod
8	estén	VERB	3	csubj
9	donde	PRON	11	obl
10	las	PRON	11	obj
11	dejaron	VERB	8	advcl
12	y	CCONJ	18	cc
13	que	SCONJ	18	mark
14	los	DET	15	det
15	militares	NOUN	18	nsubj
16	chilenos	ADJ	15	amod
17	no	ADV	18	advmod
18	sepan	VERB	8	conj
19	dónde	PRON	20	obl
20	buscar	VERB	18	xcomp
21	,	PUNCT	3	punct
22	por	ADP	23	case
23	eso	PRON	27	obl
24	los	DET	25	det
25	peligros	NOUN	27	nsubj
26	son	AUX	27	cop
27	mayores	ADJ	3	advcl
28	"	PUNCT	3	punct
29	,	PUNCT	3	punct
30	señaló	VERB	0	root
31	la	DET	32	det
32	fuente	NOUN	30	nsubj
33	.	PUNCT	30	punct