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:
K čerpadlu přijel v tu dobu vůz BMW se čtyřmi muži, kteří nastříkali slzný plyn do očí obsluze a odcizili tržbu v částce téměř 62000 Kčs.
Postion	Tokenization
1	K
2	čerpadlu
3	přijel
4	v
5	tu
6	dobu
7	vůz
8	BMW
9	se
10	čtyřmi
11	muži
12	,
13	kteří
14	nastříkali
15	slzný
16	plyn
17	do
18	očí
19	obsluze
20	a
21	odcizili
22	tržbu
23	v
24	částce
25	téměř
26	62000
27	Kčs
28	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	2	case
2	čerpadlu	NOUN	3	obl
3	přijel	VERB	0	root
4	v	ADP	6	case
5	tu	DET	6	det
6	dobu	NOUN	3	obl
7	vůz	NOUN	3	nsubj
8	BMW	PROPN	7	nmod
9	se	ADP	11	case
10	čtyřmi	NUM	11	nummod
11	muži	NOUN	7	nmod
12	,	PUNCT	14	punct
13	kteří	DET	14	nsubj
14	nastříkali	VERB	11	acl:relcl
15	slzný	ADJ	16	amod
16	plyn	NOUN	14	obj
17	do	ADP	18	case
18	očí	NOUN	14	obl
19	obsluze	NOUN	14	obl:arg
20	a	CCONJ	21	cc
21	odcizili	VERB	14	conj
22	tržbu	NOUN	21	obj
23	v	ADP	24	case
24	částce	NOUN	22	nmod
25	téměř	ADV	26	advmod
26	62000	NUM	27	nummod
27	Kčs	NOUN	24	nmod
28	.	PUNCT	3	punct