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: Ceny zboží a služeb jsou například v průměru nižší ve Velké Británii ( o 18 %), ve Spojených státech amerických (o 23 %), v Itálii (o 26 %) a ve Španělsku (o 27 %).
Position	Tokenization	UPOS	Head	Deprel
1	Ceny	NOUN	9	nsubj
2	zboží	NOUN	1	nmod
3	a	CCONJ	4	cc
4	služeb	NOUN	2	conj
5	jsou	AUX	9	cop
6	například	ADV	8	cc
7	v	ADP	8	case
8	průměru	NOUN	9	obl
9	nižší	ADJ	0	root
10	ve	ADP	12	case
11	Velké	ADJ	12	amod
12	Británii	PROPN	9	obl
13	(	PUNCT	15	punct
14	o	ADP	15	case
15	18	NUM	9	obl
16	%	SYM	15	nmod
17	)	PUNCT	15	punct
18	_	_	None	_
19	,	PUNCT	21	punct
20	ve	ADP	21	case
21	Spojených	ADJ	21	amod
22	státech	NOUN	9	conj
23	amerických	ADJ	21	amod
24	(	PUNCT	21	punct
25	o	ADP	25	case
26	23	NUM	9	dep
27	%	SYM	25	nmod
28	)	PUNCT	26	punct
29	,	PUNCT	30	punct
30	v	ADP	30	case
31	Itálii	PROPN	21	orphan
32	(	PUNCT	30	punct
33	o	ADP	33	case
34	26	NUM	9	dep
35	%	SYM	33	nmod
36	)	PUNCT	34	punct
37	a	CCONJ	21	cc
38	ve	ADP	38	case
39	Španělsku	PROPN	21	orphan
40	(	PUNCT	9	punct
41	o	ADP	41	case
42	27	NUM	9	dep
43	%	SYM	41	nmod
44	)	PUNCT	9	punct
45	.	PUNCT	9	punct