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: Staly se totiž i případy, kdy banka nedopatřením připsala na konto B určitou částku navíc, kterou jeho majitel, k jehož pravidelným příjmům patří i nepravidelné honoráře - jak jinak než utratil...
Position	Tokenization	UPOS	Head	Deprel
1	Staly	VERB	0	root
2	se	PRON	1	expl:pv
3	totiž	ADV	1	advmod
4	i	CCONJ	5	advmod:emph
5	případy	NOUN	1	nsubj
6	,	PUNCT	10	punct
7	kdy	ADV	10	advmod
8	banka	NOUN	10	nsubj
9	nedopatřením	NOUN	10	obl
10	připsala	VERB	5	acl:relcl
11	na	ADP	12	case
12	konto	NOUN	10	obl
13	B	NOUN	12	nmod
14	určitou	ADJ	15	amod
15	částku	NOUN	10	obj
16	navíc	ADV	10	advmod
17	,	PUNCT	34	punct
18	kterou	DET	34	obj
19	jeho	DET	20	det
20	majitel	NOUN	34	nsubj
21	,	PUNCT	26	punct
22	k	ADP	25	case
23	jehož	DET	25	det
24	pravidelným	ADJ	25	amod
25	příjmům	NOUN	26	obl:arg
26	patří	VERB	20	acl:relcl
27	i	CCONJ	29	advmod:emph
28	nepravidelné	ADJ	29	amod
29	honoráře	NOUN	26	nsubj
30	-	PUNCT	34	punct
31	jak	ADV	32	advmod
32	jinak	ADV	34	advmod:emph
33	než	SCONJ	32	cc
34	utratil	VERB	15	acl:relcl
35	.	PUNCT	1	punct
36	.	PUNCT	1	punct
37	.	PUNCT	1	punct