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:
Ceny energie v Rakousku pro malospotřebitele se v lednu zvýšily o 0.6 procenta v porovnání s lednem loňského roku, zatímco v prosinci stouply v meziročním srovnání o dvě procenta.
Postion	Tokenization
1	Ceny
2	energie
3	v
4	Rakousku
5	pro
6	malospotřebitele
7	se
8	v
9	lednu
10	zvýšily
11	o
12	0.6
13	procenta
14	v
15	porovnání
16	s
17	lednem
18	loňského
19	roku
20	,
21	zatímco
22	v
23	prosinci
24	stouply
25	v
26	meziročním
27	srovnání
28	o
29	dvě
30	procenta
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Ceny	NOUN	10	nsubj
2	energie	NOUN	1	nmod
3	v	ADP	4	case
4	Rakousku	PROPN	1	nmod
5	pro	ADP	6	case
6	malospotřebitele	NOUN	1	nmod
7	se	PRON	10	expl:pv
8	v	ADP	9	case
9	lednu	NOUN	10	obl
10	zvýšily	VERB	0	root
11	o	ADP	13	case
12	0.6	NUM	13	nummod:gov
13	procenta	NOUN	10	obl
14	v	ADP	17	case
15	porovnání	NOUN	14	fixed
16	s	ADP	14	fixed
17	lednem	NOUN	10	obl
18	loňského	ADJ	19	amod
19	roku	NOUN	17	nmod
20	,	PUNCT	24	punct
21	zatímco	SCONJ	24	mark
22	v	ADP	23	case
23	prosinci	NOUN	24	obl
24	stouply	VERB	10	advcl
25	v	ADP	27	case
26	meziročním	ADJ	27	amod
27	srovnání	NOUN	24	obl
28	o	ADP	30	case
29	dvě	NUM	30	nummod
30	procenta	NOUN	24	obl
31	.	PUNCT	10	punct