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 tokenized text:
Kniha německého bankovního odborníka ukazuje bankovním klientům, jak šetřit peníze, jak vystupovat při jednání v bance a jak se vyhnout zbytečným stresovým situacím.
Postion	Tokenization
1	Kniha
2	německého
3	bankovního
4	odborníka
5	ukazuje
6	bankovním
7	klientům
8	,
9	jak
10	šetřit
11	peníze
12	,
13	jak
14	vystupovat
15	při
16	jednání
17	v
18	bance
19	a
20	jak
21	se
22	vyhnout
23	zbytečným
24	stresovým
25	situacím
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Kniha	NOUN	5	nsubj
2	německého	ADJ	4	amod
3	bankovního	ADJ	4	amod
4	odborníka	NOUN	1	nmod
5	ukazuje	VERB	0	root
6	bankovním	ADJ	7	amod
7	klientům	NOUN	5	obl:arg
8	,	PUNCT	10	punct
9	jak	ADV	10	advmod
10	šetřit	VERB	5	xcomp
11	peníze	NOUN	10	obj
12	,	PUNCT	14	punct
13	jak	ADV	14	advmod
14	vystupovat	VERB	10	conj
15	při	ADP	16	case
16	jednání	NOUN	14	obl
17	v	ADP	18	case
18	bance	NOUN	16	nmod
19	a	CCONJ	22	cc
20	jak	ADV	22	advmod
21	se	PRON	22	expl:pv
22	vyhnout	VERB	10	conj
23	zbytečným	ADJ	25	amod
24	stresovým	ADJ	25	amod
25	situacím	NOUN	22	obl:arg
26	.	PUNCT	5	punct