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:
La otra opción, más económica, es que cada radar disponga de un disco que archive las imágenes y que un guardia urbano se encargue de recogerlo cada semana.
Postion	Tokenization
1	La
2	otra
3	opción
4	,
5	más
6	económica
7	,
8	es
9	que
10	cada
11	radar
12	disponga
13	de
14	un
15	disco
16	que
17	archive
18	las
19	imágenes
20	y
21	que
22	un
23	guardia
24	urbano
25	se
26	encargue
27	de
28	recogerlo
29	recoger
30	lo
31	cada
32	semana
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	otra	DET	1	det
3	opción	NOUN	8	nsubj
4	,	PUNCT	6	punct
5	más	ADV	6	advmod
6	económica	ADJ	3	amod
7	,	PUNCT	6	punct
8	es	AUX	0	root
9	que	SCONJ	12	mark
10	cada	DET	11	det
11	radar	NOUN	12	nsubj
12	disponga	VERB	8	ccomp
13	de	ADP	15	case
14	un	DET	15	det
15	disco	NOUN	12	obj
16	que	PRON	17	nsubj
17	archive	VERB	15	acl
18	las	DET	19	det
19	imágenes	NOUN	17	obj
20	y	CCONJ	26	cc
21	que	SCONJ	26	mark
22	un	DET	23	det
23	guardia	NOUN	26	nsubj
24	urbano	NOUN	23	compound
25	se	PRON	26	expl:pv
26	encargue	VERB	12	conj
27	de	ADP	28	mark
28	recogerlo	_	None	_
29	recoger	VERB	26	xcomp
30	lo	PRON	28	obj
31	cada	DET	31	det
32	semana	NOUN	28	obl
33	.	PUNCT	8	punct