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: Pravděpodobně nastane začátkem příštího roku situace, kdy mnozí podnikatelé budou pracovat dál, ale bez povolení, a v takových případech musí počítat i se sankcemi," řekla nám Eva Novaková, vedoucí živnostenského odboru Magistrátního úřadu hl. m. Prahy.
Position	Tokenization	UPOS	Head	Deprel
1	Pravděpodobně	ADV	2	advmod
2	nastane	VERB	30	ccomp
3	začátkem	NOUN	5	case
4	příštího	ADJ	5	amod
5	roku	NOUN	2	obl
6	situace	NOUN	2	nsubj
7	,	PUNCT	12	punct
8	kdy	ADV	12	advmod
9	mnozí	ADJ	10	amod
10	podnikatelé	NOUN	12	nsubj
11	budou	AUX	12	aux
12	pracovat	VERB	6	acl:relcl
13	dál	ADV	12	advmod
14	,	PUNCT	17	punct
15	ale	CCONJ	17	cc
16	bez	ADP	17	case
17	povolení	NOUN	13	conj
18	,	PUNCT	12	punct
19	a	CCONJ	23	cc
20	v	ADP	22	case
21	takových	DET	22	det
22	případech	NOUN	23	obl
23	musí	VERB	2	conj
24	počítat	VERB	23	xcomp
25	i	CCONJ	27	advmod:emph
26	se	ADP	27	case
27	sankcemi	NOUN	24	obl:arg
28	,	PUNCT	2	punct
29	"	PUNCT	2	punct
30	řekla	VERB	0	root
31	nám	PRON	30	obl:arg
32	Eva	PROPN	30	nsubj
33	Novaková	PROPN	32	flat
34	,	PUNCT	35	punct
35	vedoucí	NOUN	32	appos
36	živnostenského	ADJ	37	amod
37	odboru	NOUN	35	nmod
38	Magistrátního	ADJ	39	amod
39	úřadu	NOUN	37	nmod
40	hl	ADJ	42	amod
41	.	PUNCT	40	punct
42	m	NOUN	39	nmod
43	.	PUNCT	42	punct
44	Prahy	PROPN	42	nmod
45	.	PUNCT	30	punct