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:
Que el escándalo de los negocios fraudulentos de la familia presidencial se haga público ahora, no tiene otra razón de ser que las próximas elecciones legislativas y las presidenciales del año que viene.
Postion	Tokenization
1	Que
2	el
3	escándalo
4	de
5	los
6	negocios
7	fraudulentos
8	de
9	la
10	familia
11	presidencial
12	se
13	haga
14	público
15	ahora
16	,
17	no
18	tiene
19	otra
20	razón
21	de
22	ser
23	que
24	las
25	próximas
26	elecciones
27	legislativas
28	y
29	las
30	presidenciales
31	del
32	año
33	que
34	viene
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Que	SCONJ	13	mark
2	el	DET	3	det
3	escándalo	NOUN	13	nsubj
4	de	ADP	6	case
5	los	DET	6	det
6	negocios	NOUN	3	nmod
7	fraudulentos	ADJ	6	amod
8	de	ADP	10	case
9	la	DET	10	det
10	familia	NOUN	6	nmod
11	presidencial	ADJ	10	amod
12	se	PRON	13	expl:pass
13	haga	VERB	18	csubj
14	público	NOUN	13	obj
15	ahora	ADV	13	advmod
16	,	PUNCT	13	punct
17	no	ADV	18	advmod
18	tiene	VERB	0	root
19	otra	DET	20	det
20	razón	NOUN	18	obj
21	de	ADP	22	mark
22	ser	AUX	20	acl
23	que	SCONJ	26	mark
24	las	DET	26	det
25	próximas	ADJ	26	amod
26	elecciones	NOUN	20	nmod
27	legislativas	ADJ	26	amod
28	y	CCONJ	30	cc
29	las	DET	30	det
30	presidenciales	ADJ	26	conj
31	del	ADP	32	case
32	año	NOUN	30	nmod
33	que	PRON	34	nsubj
34	viene	VERB	32	acl
35	.	PUNCT	18	punct