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:
Respecto al resultado de las elecciones autonómicas, Villalobos señaló que demuestra que "Andalucía no es propiedad del PSOE, es propiedad de los andaluces".
Postion	Tokenization
1	Respecto
2	al
3	resultado
4	de
5	las
6	elecciones
7	autonómicas
8	,
9	Villalobos
10	señaló
11	que
12	demuestra
13	que
14	"
15	Andalucía
16	no
17	es
18	propiedad
19	del
20	PSOE
21	,
22	es
23	propiedad
24	de
25	los
26	andaluces
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Respecto	NOUN	3	case
2	al	ADP	1	fixed
3	resultado	NOUN	10	obl
4	de	ADP	6	case
5	las	DET	6	det
6	elecciones	NOUN	3	nmod
7	autonómicas	ADJ	6	amod
8	,	PUNCT	3	punct
9	Villalobos	PROPN	10	nsubj
10	señaló	VERB	0	root
11	que	SCONJ	12	mark
12	demuestra	VERB	10	ccomp
13	que	SCONJ	18	mark
14	"	PUNCT	18	punct
15	Andalucía	PROPN	18	nsubj
16	no	ADV	18	advmod
17	es	AUX	18	cop
18	propiedad	NOUN	12	ccomp
19	del	ADP	20	case
20	PSOE	PROPN	18	nmod
21	,	PUNCT	18	punct
22	es	AUX	23	cop
23	propiedad	NOUN	18	advcl
24	de	ADP	26	case
25	los	DET	26	det
26	andaluces	ADJ	23	amod
27	"	PUNCT	18	punct
28	.	PUNCT	10	punct