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:
Vzhledem k tomu, že takové výhrůžky nelze podceňovat, plzeňská justiční stráž nyní zvýšila pochůzkovou činnost a uzavřela boční vchod do soudní budovy.
Postion	Tokenization
1	Vzhledem
2	k
3	tomu
4	,
5	že
6	takové
7	výhrůžky
8	nelze
9	podceňovat
10	,
11	plzeňská
12	justiční
13	stráž
14	nyní
15	zvýšila
16	pochůzkovou
17	činnost
18	a
19	uzavřela
20	boční
21	vchod
22	do
23	soudní
24	budovy
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Vzhledem	ADP	3	case
2	k	ADP	1	fixed
3	tomu	DET	15	obl
4	,	PUNCT	8	punct
5	že	SCONJ	8	mark
6	takové	DET	7	det
7	výhrůžky	NOUN	9	obj
8	nelze	VERB	3	acl
9	podceňovat	VERB	8	csubj
10	,	PUNCT	8	punct
11	plzeňská	ADJ	13	amod
12	justiční	ADJ	13	amod
13	stráž	NOUN	15	nsubj
14	nyní	ADV	15	advmod
15	zvýšila	VERB	0	root
16	pochůzkovou	ADJ	17	amod
17	činnost	NOUN	15	obj
18	a	CCONJ	19	cc
19	uzavřela	VERB	15	conj
20	boční	ADJ	21	amod
21	vchod	NOUN	19	obj
22	do	ADP	24	case
23	soudní	ADJ	24	amod
24	budovy	NOUN	21	nmod
25	.	PUNCT	15	punct