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:
En los últimos años, la demanda de electricidad ha experimentado un aumento continuo que, según prevén los expertos, seguirá en el futuro.
Postion	Tokenization
1	En
2	los
3	últimos
4	años
5	,
6	la
7	demanda
8	de
9	electricidad
10	ha
11	experimentado
12	un
13	aumento
14	continuo
15	que
16	,
17	según
18	prevén
19	los
20	expertos
21	,
22	seguirá
23	en
24	el
25	futuro
26	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	los	DET	4	det
3	últimos	ADJ	4	amod
4	años	NOUN	11	obl
5	,	PUNCT	4	punct
6	la	DET	7	det
7	demanda	NOUN	11	nsubj
8	de	ADP	9	case
9	electricidad	NOUN	7	nmod
10	ha	AUX	11	aux
11	experimentado	VERB	0	root
12	un	DET	13	det
13	aumento	NOUN	11	obj
14	continuo	ADJ	13	amod
15	que	PRON	22	nsubj
16	,	PUNCT	18	punct
17	según	SCONJ	18	mark
18	prevén	VERB	22	advcl
19	los	DET	20	det
20	expertos	NOUN	18	nsubj
21	,	PUNCT	18	punct
22	seguirá	VERB	13	acl
23	en	ADP	25	case
24	el	DET	25	det
25	futuro	NOUN	22	obl
26	.	PUNCT	11	punct