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:
Pero a juicio del almirante retirado Martínez Busch, con las reformas "Lagos sólo busca el poder total" y por eso propuso "meditar largamente el tema y no precipitarse".
Postion	Tokenization
1	Pero
2	a
3	juicio
4	del
5	almirante
6	retirado
7	Martínez
8	Busch
9	,
10	con
11	las
12	reformas
13	"
14	Lagos
15	sólo
16	busca
17	el
18	poder
19	total
20	"
21	y
22	por
23	eso
24	propuso
25	"
26	meditar
27	largamente
28	el
29	tema
30	y
31	no
32	precipitarse
33	precipitar
34	se
35	"
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	16	advmod
2	a	ADP	3	case
3	juicio	NOUN	16	obl
4	del	ADP	5	case
5	almirante	NOUN	3	nmod
6	retirado	ADJ	5	amod
7	Martínez	PROPN	5	appos
8	Busch	PROPN	7	flat
9	,	PUNCT	3	punct
10	con	ADP	12	case
11	las	DET	12	det
12	reformas	NOUN	16	obl
13	"	PUNCT	16	punct
14	Lagos	PROPN	16	nsubj
15	sólo	ADV	16	advmod
16	busca	VERB	0	root
17	el	DET	18	det
18	poder	NOUN	16	obj
19	total	ADJ	18	amod
20	"	PUNCT	24	punct
21	y	CCONJ	24	cc
22	por	ADP	23	case
23	eso	PRON	24	obl
24	propuso	VERB	16	conj
25	"	PUNCT	26	punct
26	meditar	VERB	24	xcomp
27	largamente	ADV	26	advmod
28	el	DET	29	det
29	tema	NOUN	26	obj
30	y	CCONJ	32	cc
31	no	ADV	32	advmod
32	precipitarse	_	None	_
33	precipitar	VERB	26	conj
34	se	PRON	32	obj
35	"	PUNCT	26	punct
36	.	PUNCT	16	punct