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:
Si el dinero, que todo lo corrompe, no le tuviera que hacer perder su virginal disidencia actual, merecería estar subvencionado.
Postion	Tokenization
1	Si
2	el
3	dinero
4	,
5	que
6	todo
7	lo
8	corrompe
9	,
10	no
11	le
12	tuviera
13	que
14	hacer
15	perder
16	su
17	virginal
18	disidencia
19	actual
20	,
21	merecería
22	estar
23	subvencionado
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	14	mark
2	el	DET	3	det
3	dinero	NOUN	14	nsubj
4	,	PUNCT	8	punct
5	que	PRON	8	nsubj
6	todo	PRON	8	iobj
7	lo	PRON	8	obj
8	corrompe	VERB	3	acl
9	,	PUNCT	8	punct
10	no	ADV	14	advmod
11	le	PRON	14	obj
12	tuviera	VERB	21	advcl
13	que	SCONJ	14	cc
14	hacer	VERB	12	conj
15	perder	VERB	14	xcomp
16	su	DET	18	det
17	virginal	ADJ	18	amod
18	disidencia	NOUN	14	obj
19	actual	ADJ	18	amod
20	,	PUNCT	12	punct
21	merecería	VERB	0	root
22	estar	AUX	23	aux
23	subvencionado	ADJ	21	obj
24	.	PUNCT	21	punct