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:
V této sumě je započítáno jak zvýšení ceny výrobce (o 1.20 Kčs u tohoto druhu), tak i nové daňové zatížení 2.30 Kčs na jednu krabičku cigaret s filtrem.
Postion	Tokenization
1	V
2	této
3	sumě
4	je
5	započítáno
6	jak
7	zvýšení
8	ceny
9	výrobce
10	(
11	o
12	1.20
13	Kčs
14	u
15	tohoto
16	druhu
17	)
18	,
19	tak
20	i
21	nové
22	daňové
23	zatížení
24	2.30
25	Kčs
26	na
27	jednu
28	krabičku
29	cigaret
30	s
31	filtrem
32	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	3	case
2	této	DET	3	det
3	sumě	NOUN	5	obl
4	je	AUX	5	cop
5	započítáno	ADJ	0	root
6	jak	ADV	7	cc
7	zvýšení	NOUN	5	nsubj
8	ceny	NOUN	7	nmod
9	výrobce	NOUN	8	nmod
10	(	PUNCT	7	punct
11	o	ADP	12	case
12	1.20	NUM	7	dep
13	Kčs	NOUN	12	nmod
14	u	ADP	16	case
15	tohoto	DET	16	det
16	druhu	NOUN	7	dep
17	)	PUNCT	7	punct
18	,	PUNCT	23	punct
19	tak	ADV	23	cc
20	i	CCONJ	23	advmod:emph
21	nové	ADJ	23	amod
22	daňové	ADJ	23	amod
23	zatížení	NOUN	7	conj
24	2.30	NUM	23	nummod
25	Kčs	NOUN	24	nmod
26	na	ADP	28	case
27	jednu	NUM	28	nummod
28	krabičku	NOUN	25	nmod
29	cigaret	NOUN	28	nmod
30	s	ADP	31	case
31	filtrem	NOUN	29	nmod
32	.	PUNCT	5	punct