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:
But as its economy has expanded by an average of nine per cent per year for the last two decades, so has its demand for energy.
Postion	Tokenization
1	But
2	as
3	its
4	economy
5	has
6	expanded
7	by
8	an
9	average
10	of
11	nine
12	per
13	cent
14	per
15	year
16	for
17	the
18	last
19	two
20	decades
21	,
22	so
23	has
24	its
25	demand
26	for
27	energy
28	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	23	cc
2	as	SCONJ	6	mark
3	its	PRON	4	nmod:poss
4	economy	NOUN	6	nsubj
5	has	AUX	6	aux
6	expanded	VERB	23	advcl
7	by	ADP	9	case
8	an	DET	9	det
9	average	NOUN	6	obl
10	of	ADP	13	case
11	nine	NUM	13	nummod
12	per	NOUN	13	compound
13	cent	NOUN	9	nmod
14	per	ADP	15	case
15	year	NOUN	13	nmod
16	for	ADP	20	case
17	the	DET	20	det
18	last	ADJ	20	amod
19	two	NUM	20	nummod
20	decades	NOUN	6	obl
21	,	PUNCT	23	punct
22	so	ADV	23	advmod
23	has	VERB	0	root
24	its	PRON	25	nmod:poss
25	demand	NOUN	23	nsubj
26	for	ADP	27	case
27	energy	NOUN	25	nmod
28	.	PUNCT	23	punct