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:
Vznícení husitští robotězové kladli římským jednuškám lstivou, avšak nikterak hloupou otázku: kde byl šlechtic (biskup), když Adam oral a Eva předla?
Postion	Tokenization
1	Vznícení
2	husitští
3	robotězové
4	kladli
5	římským
6	jednuškám
7	lstivou
8	,
9	avšak
10	nikterak
11	hloupou
12	otázku
13	:
14	kde
15	byl
16	šlechtic
17	(
18	biskup
19	)
20	,
21	když
22	Adam
23	oral
24	a
25	Eva
26	předla
27	?
Position	Tokenization	UPOS	Head	Deprel
1	Vznícení	ADJ	3	amod
2	husitští	ADJ	3	amod
3	robotězové	NOUN	4	nsubj
4	kladli	VERB	0	root
5	římským	ADJ	6	amod
6	jednuškám	NOUN	4	obl:arg
7	lstivou	ADJ	12	amod
8	,	PUNCT	11	punct
9	avšak	CCONJ	11	cc
10	nikterak	ADV	11	advmod
11	hloupou	ADJ	7	conj
12	otázku	NOUN	4	obj
13	:	PUNCT	15	punct
14	kde	ADV	15	advmod
15	byl	VERB	12	acl:relcl
16	šlechtic	NOUN	15	nsubj
17	(	PUNCT	18	punct
18	biskup	NOUN	16	appos
19	)	PUNCT	18	punct
20	,	PUNCT	23	punct
21	když	SCONJ	23	mark
22	Adam	PROPN	23	nsubj
23	oral	VERB	15	advcl
24	a	CCONJ	26	cc
25	Eva	PROPN	26	nsubj
26	předla	VERB	23	conj
27	?	PUNCT	4	punct