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: Při určité rychlosti jízdy se například změní sazba ze základní dvanáctikorunové třeba na třicet korun za kilometr, aniž by si zákazník čehokoli všimnul," uvedl Mgr. Šídlo ze živnostenského odboru pražského magistrátu.
Position	Tokenization	UPOS	Head	Deprel
1	Při	ADP	3	case
2	určité	ADJ	3	amod
3	rychlosti	NOUN	7	obl
4	jízdy	NOUN	3	nmod
5	se	PRON	7	expl:pass
6	například	ADV	7	advmod
7	změní	VERB	27	ccomp
8	sazba	NOUN	7	nsubj:pass
9	ze	ADP	10	case
10	základní	ADJ	7	dep
11	dvanáctikorunové	ADJ	10	dep
12	třeba	ADV	14	advmod:emph
13	na	ADP	15	case
14	třicet	NUM	15	nummod:gov
15	korun	NOUN	7	obl:arg
16	za	ADP	17	case
17	kilometr	NOUN	15	nmod
18	,	PUNCT	24	punct
19	aniž	SCONJ	24	mark
20	by	AUX	24	aux
21	si	PRON	24	expl:pv
22	zákazník	NOUN	24	nsubj
23	čehokoli	PRON	24	obl:arg
24	všimnul	VERB	7	advcl
25	,	PUNCT	7	punct
26	"	PUNCT	7	punct
27	uvedl	VERB	0	root
28	Mgr	NOUN	30	nmod
29	.	PUNCT	28	punct
30	Šídlo	PROPN	27	nsubj
31	ze	ADP	33	case
32	živnostenského	ADJ	33	amod
33	odboru	NOUN	30	nmod
34	pražského	ADJ	35	amod
35	magistrátu	NOUN	33	nmod
36	.	PUNCT	27	punct