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:
Los malos resultados electorales han comportado una sustancial reducción de las subvenciones que se perciben del Estado, lo que obliga a recortar los gastos.
Postion	Tokenization
1	Los
2	malos
3	resultados
4	electorales
5	han
6	comportado
7	una
8	sustancial
9	reducción
10	de
11	las
12	subvenciones
13	que
14	se
15	perciben
16	del
17	Estado
18	,
19	lo
20	que
21	obliga
22	a
23	recortar
24	los
25	gastos
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	malos	ADJ	3	amod
3	resultados	NOUN	6	nsubj
4	electorales	ADJ	3	amod
5	han	AUX	6	aux
6	comportado	VERB	0	root
7	una	DET	9	det
8	sustancial	ADJ	9	amod
9	reducción	NOUN	6	obj
10	de	ADP	12	case
11	las	DET	12	det
12	subvenciones	NOUN	9	nmod
13	que	PRON	15	nsubj
14	se	PRON	15	expl:pass
15	perciben	VERB	12	acl
16	del	ADP	17	case
17	Estado	PROPN	15	obl
18	,	PUNCT	21	punct
19	lo	PRON	21	det
20	que	PRON	21	nsubj
21	obliga	VERB	6	advcl
22	a	ADP	23	mark
23	recortar	VERB	21	xcomp
24	los	DET	25	det
25	gastos	NOUN	23	obj
26	.	PUNCT	6	punct