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:
El país se ha parado, por lo menos políticamente, hasta que no encuentren a Roldán, que es una bomba de efectos retardados, dando vueltas por los sueños de los políticos y de los financieros.
Postion	Tokenization
1	El
2	país
3	se
4	ha
5	parado
6	,
7	por
8	lo
9	menos
10	políticamente
11	,
12	hasta
13	que
14	no
15	encuentren
16	a
17	Roldán
18	,
19	que
20	es
21	una
22	bomba
23	de
24	efectos
25	retardados
26	,
27	dando
28	vueltas
29	por
30	los
31	sueños
32	de
33	los
34	políticos
35	y
36	de
37	los
38	financieros
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	país	NOUN	5	nsubj
3	se	PRON	5	expl:pv
4	ha	AUX	5	aux
5	parado	VERB	0	root
6	,	PUNCT	7	punct
7	por	ADP	5	advmod
8	lo	PRON	7	fixed
9	menos	ADV	7	fixed
10	políticamente	ADV	7	advmod
11	,	PUNCT	7	punct
12	hasta	ADP	15	mark
13	que	SCONJ	12	fixed
14	no	ADV	15	advmod
15	encuentren	VERB	5	advcl
16	a	ADP	17	case
17	Roldán	PROPN	15	obj
18	,	PUNCT	22	punct
19	que	PRON	22	nsubj
20	es	AUX	22	cop
21	una	DET	22	det
22	bomba	NOUN	17	acl
23	de	ADP	24	case
24	efectos	NOUN	22	nmod
25	retardados	ADJ	24	amod
26	,	PUNCT	27	punct
27	dando	VERB	22	acl
28	vueltas	NOUN	27	obj
29	por	ADP	31	case
30	los	DET	31	det
31	sueños	NOUN	27	obl
32	de	ADP	34	case
33	los	DET	34	det
34	políticos	NOUN	31	nmod
35	y	CCONJ	38	cc
36	de	ADP	38	case
37	los	DET	38	det
38	financieros	NOUN	34	conj
39	.	PUNCT	5	punct