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:
Ostraha hotelu Palace v centru Prahy zadržela v sobotu 23letého Bulhara, který požádal ve zdejší směnárně o výměnu peněz, avšak předal o 7000 korun méně.
Postion	Tokenization
1	Ostraha
2	hotelu
3	Palace
4	v
5	centru
6	Prahy
7	zadržela
8	v
9	sobotu
10	23
11	letého
12	Bulhara
13	,
14	který
15	požádal
16	ve
17	zdejší
18	směnárně
19	o
20	výměnu
21	peněz
22	,
23	avšak
24	předal
25	o
26	7000
27	korun
28	méně
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Ostraha	NOUN	7	nsubj
2	hotelu	NOUN	1	nmod
3	Palace	PROPN	2	nmod
4	v	ADP	5	case
5	centru	NOUN	2	nmod
6	Prahy	PROPN	5	nmod
7	zadržela	VERB	0	root
8	v	ADP	9	case
9	sobotu	NOUN	7	obl
10	23	NUM	11	obl
11	letého	ADJ	12	amod
12	Bulhara	PROPN	7	obj
13	,	PUNCT	15	punct
14	který	DET	15	nsubj
15	požádal	VERB	12	acl:relcl
16	ve	ADP	18	case
17	zdejší	ADJ	18	amod
18	směnárně	NOUN	15	obl
19	o	ADP	20	case
20	výměnu	NOUN	15	obl:arg
21	peněz	NOUN	20	nmod
22	,	PUNCT	24	punct
23	avšak	CCONJ	24	cc
24	předal	VERB	15	conj
25	o	ADP	27	case
26	7000	NUM	27	nummod:gov
27	korun	NOUN	28	obl
28	méně	ADV	24	obj
29	.	PUNCT	7	punct