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 text: Spíše se dá předpokládat, že při mírném snížení rabatu na osm procent (které přinese obchodníkovi zhruba stejnou částku jako deset procent z nižší ceny) bude cena v prodejnách asi 17.30 Kčs.
Position	Tokenization	UPOS	Head	Deprel
1	Spíše	ADV	3	advmod
2	se	PRON	3	expl:pass
3	dá	VERB	0	root
4	předpokládat	VERB	3	xcomp
5	,	PUNCT	33	punct
6	že	SCONJ	33	mark
7	při	ADP	9	case
8	mírném	ADJ	9	amod
9	snížení	NOUN	33	obl
10	rabatu	NOUN	9	nmod
11	na	ADP	13	case
12	osm	NUM	13	nummod:gov
13	procent	NOUN	9	nmod
14	(	PUNCT	16	punct
15	které	DET	16	nsubj
16	přinese	VERB	9	acl:relcl
17	obchodníkovi	NOUN	16	obl:arg
18	zhruba	ADV	20	advmod:emph
19	stejnou	ADJ	20	amod
20	částku	NOUN	16	obj
21	jako	SCONJ	23	mark
22	deset	NUM	23	nummod:gov
23	procent	NOUN	19	advcl
24	z	ADP	26	case
25	nižší	ADJ	26	amod
26	ceny	NOUN	23	nmod
27	)	PUNCT	16	punct
28	bude	AUX	33	cop
29	cena	NOUN	33	nsubj
30	v	ADP	31	case
31	prodejnách	NOUN	29	nmod
32	asi	PART	33	advmod:emph
33	17.30	NUM	4	ccomp
34	Kčs	NOUN	33	nmod
35	.	PUNCT	3	punct