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:
En pocas palabras: deberá desprenderse de lo viejo, hallar dónde guardarlo sin peligro, tener más capacidad en la contención y ser más eficaz en la respuesta.
Postion	Tokenization
1	En
2	pocas
3	palabras
4	:
5	deberá
6	desprenderse
7	desprender
8	se
9	de
10	lo
11	viejo
12	,
13	hallar
14	dónde
15	guardarlo
16	guardar
17	lo
18	sin
19	peligro
20	,
21	tener
22	más
23	capacidad
24	en
25	la
26	contención
27	y
28	ser
29	más
30	eficaz
31	en
32	la
33	respuesta
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	6	advmod
2	pocas	NOUN	1	fixed
3	palabras	NOUN	1	fixed
4	:	PUNCT	6	punct
5	deberá	AUX	6	aux
6	desprenderse	_	None	_
7	desprender	VERB	0	root
8	se	PRON	6	expl:pv
9	de	ADP	10	case
10	lo	PRON	10	det
11	viejo	ADJ	6	obj
12	,	PUNCT	12	punct
13	hallar	VERB	6	advcl
14	dónde	PRON	12	obl
15	guardarlo	_	None	_
16	guardar	VERB	12	xcomp
17	lo	PRON	14	obj
18	sin	ADP	17	case
19	peligro	NOUN	12	obl
20	,	PUNCT	19	punct
21	tener	VERB	6	advcl
22	más	ADV	21	advmod
23	capacidad	NOUN	19	obj
24	en	ADP	24	case
25	la	DET	24	det
26	contención	NOUN	21	nmod
27	y	CCONJ	26	cc
28	ser	AUX	6	conj
29	más	ADV	28	advmod
30	eficaz	ADJ	26	amod
31	en	ADP	31	case
32	la	DET	31	det
33	respuesta	NOUN	28	nmod
34	.	PUNCT	6	punct