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:
Magistrát očekává, že tímto opatřením se zabrání okrádání a přepadání zákazníků, kteří se na korbě vozu mohou daleko snadněji ubránit útočícímu taxikáři.
Postion	Tokenization
1	Magistrát
2	očekává
3	,
4	že
5	tímto
6	opatřením
7	se
8	zabrání
9	okrádání
10	a
11	přepadání
12	zákazníků
13	,
14	kteří
15	se
16	na
17	korbě
18	vozu
19	mohou
20	daleko
21	snadněji
22	ubránit
23	útočícímu
24	taxikáři
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Magistrát	NOUN	2	nsubj
2	očekává	VERB	0	root
3	,	PUNCT	8	punct
4	že	SCONJ	8	mark
5	tímto	DET	6	det
6	opatřením	NOUN	8	obl
7	se	PRON	8	expl:pass
8	zabrání	VERB	2	ccomp
9	okrádání	NOUN	8	obl:arg
10	a	CCONJ	11	cc
11	přepadání	NOUN	9	conj
12	zákazníků	NOUN	9	nmod
13	,	PUNCT	19	punct
14	kteří	DET	19	nsubj
15	se	PRON	22	expl:pv
16	na	ADP	17	case
17	korbě	NOUN	22	obl
18	vozu	NOUN	17	nmod
19	mohou	VERB	12	acl:relcl
20	daleko	ADV	21	advmod
21	snadněji	ADV	22	advmod
22	ubránit	VERB	19	xcomp
23	útočícímu	ADJ	24	amod
24	taxikáři	NOUN	22	obl:arg
25	.	PUNCT	2	punct