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 presidente ejecutivo explicó que representantes del banco irán al campo y preguntarán al tendero y arrendatario cómo paga las cuentas el solicitante del préstamo y "al cura (sacerdote) cómo se comporta".
Postion	Tokenization
1	El
2	presidente
3	ejecutivo
4	explicó
5	que
6	representantes
7	del
8	banco
9	irán
10	al
11	campo
12	y
13	preguntarán
14	al
15	tendero
16	y
17	arrendatario
18	cómo
19	paga
20	las
21	cuentas
22	el
23	solicitante
24	del
25	préstamo
26	y
27	"
28	al
29	cura
30	(
31	sacerdote
32	)
33	cómo
34	se
35	comporta
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	4	nsubj
3	ejecutivo	ADJ	2	amod
4	explicó	VERB	0	root
5	que	SCONJ	9	mark
6	representantes	NOUN	9	nsubj
7	del	ADP	8	case
8	banco	NOUN	6	nmod
9	irán	VERB	4	ccomp
10	al	ADP	11	case
11	campo	NOUN	9	obl
12	y	CCONJ	13	cc
13	preguntarán	VERB	9	conj
14	al	ADP	15	case
15	tendero	NOUN	13	iobj
16	y	CCONJ	17	cc
17	arrendatario	NOUN	15	conj
18	cómo	PRON	19	obl
19	paga	VERB	13	ccomp
20	las	DET	21	det
21	cuentas	NOUN	19	obj
22	el	DET	23	det
23	solicitante	NOUN	19	nsubj
24	del	ADP	25	case
25	préstamo	NOUN	23	nmod
26	y	CCONJ	35	cc
27	"	PUNCT	35	punct
28	al	ADP	29	case
29	cura	NOUN	35	obj
30	(	PUNCT	31	punct
31	sacerdote	NOUN	29	appos
32	)	PUNCT	31	punct
33	cómo	PRON	35	obl
34	se	PRON	35	expl:pv
35	comporta	VERB	13	conj
36	"	PUNCT	35	punct
37	.	PUNCT	4	punct