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:
Por otra parte, Noruega importa unos 5.700 GWh de electricidad cada año, producida en los países vecinos en base a carbón natural y otros elementos contaminantes.
Postion	Tokenization
1	Por
2	otra
3	parte
4	,
5	Noruega
6	importa
7	unos
8	5.700
9	GWh
10	de
11	electricidad
12	cada
13	año
14	,
15	producida
16	en
17	los
18	países
19	vecinos
20	en
21	base
22	a
23	carbón
24	natural
25	y
26	otros
27	elementos
28	contaminantes
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	otra	DET	3	det
3	parte	NOUN	6	obl
4	,	PUNCT	3	punct
5	Noruega	PROPN	6	nsubj
6	importa	VERB	0	root
7	unos	PRON	8	nmod
8	5.700	NUM	9	nummod
9	GWh	NOUN	6	obj
10	de	ADP	11	case
11	electricidad	NOUN	9	nmod
12	cada	DET	13	det
13	año	NOUN	6	obl
14	,	PUNCT	15	punct
15	producida	ADJ	6	advmod
16	en	ADP	18	case
17	los	DET	18	det
18	países	NOUN	15	obl
19	vecinos	NOUN	18	appos
20	en	ADP	21	case
21	base	NOUN	15	obl
22	a	ADP	23	case
23	carbón	NOUN	21	nmod
24	natural	ADJ	23	amod
25	y	CCONJ	27	cc
26	otros	DET	27	det
27	elementos	NOUN	23	conj
28	contaminantes	ADJ	27	amod
29	.	PUNCT	6	punct