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:
Ve světle prognózovaného nárůstu spotřeby o čtyři procenta příští rok se již letos očekává zvýšení o zhruba 12 procent a v roce 1995 o dalších osm procent.
Postion	Tokenization
1	Ve
2	světle
3	prognózovaného
4	nárůstu
5	spotřeby
6	o
7	čtyři
8	procenta
9	příští
10	rok
11	se
12	již
13	letos
14	očekává
15	zvýšení
16	o
17	zhruba
18	12
19	procent
20	_
21	a
22	v
23	roce
24	1995
25	o
26	dalších
27	osm
28	procent
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ve	ADP	2	case
2	světle	NOUN	14	obl
3	prognózovaného	ADJ	4	amod
4	nárůstu	NOUN	2	nmod
5	spotřeby	NOUN	4	nmod
6	o	ADP	8	case
7	čtyři	NUM	8	nummod
8	procenta	NOUN	4	nmod
9	příští	ADJ	10	amod
10	rok	NOUN	4	nmod
11	se	PRON	14	expl:pass
12	již	ADV	13	advmod:emph
13	letos	ADV	14	advmod
14	očekává	VERB	0	root
15	zvýšení	NOUN	14	nsubj:pass
16	o	ADP	19	case
17	zhruba	ADV	18	advmod:emph
18	12	NUM	19	nummod:gov
19	procent	NOUN	15	nmod
20	_	_	None	_
21	a	CCONJ	22	cc
22	v	ADP	22	case
23	roce	NOUN	14	conj
24	1995	NUM	22	nummod
25	o	ADP	27	case
26	dalších	ADJ	27	amod
27	osm	NUM	27	nummod:gov
28	procent	NOUN	22	orphan
29	.	PUNCT	14	punct