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:
Noruega vierte a la atmósfera unos 43 millones de toneladas de CO2 anuales, y el funcionamiento de la polémica central eléctrica elevaría esa cantidad, según la postura de la coalición centrista dimisionaria.
Postion	Tokenization
1	Noruega
2	vierte
3	a
4	la
5	atmósfera
6	unos
7	43
8	millones
9	de
10	toneladas
11	de
12	CO2
13	anuales
14	,
15	y
16	el
17	funcionamiento
18	de
19	la
20	polémica
21	central
22	eléctrica
23	elevaría
24	esa
25	cantidad
26	,
27	según
28	la
29	postura
30	de
31	la
32	coalición
33	centrista
34	dimisionaria
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Noruega	PROPN	2	nsubj
2	vierte	VERB	0	root
3	a	ADP	5	case
4	la	DET	5	det
5	atmósfera	NOUN	2	obl
6	unos	PRON	7	nmod
7	43	NUM	8	nummod
8	millones	NOUN	2	obj
9	de	ADP	10	case
10	toneladas	NOUN	8	nmod
11	de	ADP	12	case
12	CO2	NOUN	10	nmod
13	anuales	ADJ	10	amod
14	,	PUNCT	23	punct
15	y	CCONJ	23	cc
16	el	DET	17	det
17	funcionamiento	NOUN	23	nsubj
18	de	ADP	21	case
19	la	DET	21	det
20	polémica	NOUN	21	nmod
21	central	NOUN	17	nmod
22	eléctrica	ADJ	21	amod
23	elevaría	VERB	2	conj
24	esa	DET	25	det
25	cantidad	NOUN	23	obj
26	,	PUNCT	29	punct
27	según	ADP	29	case
28	la	DET	29	det
29	postura	NOUN	23	obl
30	de	ADP	32	case
31	la	DET	32	det
32	coalición	NOUN	29	nmod
33	centrista	ADJ	32	amod
34	dimisionaria	ADJ	32	amod
35	.	PUNCT	2	punct