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:
Drobným odběratelům účtujeme 75 haléřů za 1 kWh, což je méně, než za kolik ji od ČEZu nakoupíme, říká obchodní náměstek Jaroslav Heligr .
Postion	Tokenization
1	Drobným
2	odběratelům
3	účtujeme
4	75
5	haléřů
6	za
7	1
8	kWh
9	,
10	což
11	je
12	méně
13	,
14	než
15	za
16	kolik
17	ji
18	od
19	ČEZu
20	nakoupíme
21	,
22	říká
23	obchodní
24	náměstek
25	Jaroslav
26	Heligr
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Drobným	ADJ	2	amod
2	odběratelům	NOUN	3	obl:arg
3	účtujeme	VERB	22	ccomp
4	75	NUM	5	nummod:gov
5	haléřů	NOUN	3	obj
6	za	ADP	8	case
7	1	NUM	8	nummod
8	kWh	NOUN	5	nmod
9	,	PUNCT	12	punct
10	což	PRON	12	nsubj
11	je	AUX	12	cop
12	méně	ADV	3	conj
13	,	PUNCT	20	punct
14	než	SCONJ	20	mark
15	za	ADP	16	case
16	kolik	DET	20	obl
17	ji	PRON	20	obj
18	od	ADP	19	case
19	ČEZu	PROPN	20	obl:arg
20	nakoupíme	VERB	12	advcl
21	,	PUNCT	3	punct
22	říká	VERB	0	root
23	obchodní	ADJ	24	amod
24	náměstek	NOUN	22	nsubj
25	Jaroslav	PROPN	24	flat
26	Heligr	PROPN	24	flat
27	.	PUNCT	22	punct