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:
Klasickou nerudovskou otázku Kam s ním si často kladou poslanci, když nervózně popojíždějí svými auty úzkými a strmými malostranskými uličkami a hledají místo k parkování.
Postion	Tokenization
1	Klasickou
2	nerudovskou
3	otázku
4	Kam
5	s
6	ním
7	si
8	často
9	kladou
10	poslanci
11	,
12	když
13	nervózně
14	popojíždějí
15	svými
16	auty
17	úzkými
18	a
19	strmými
20	malostranskými
21	uličkami
22	a
23	hledají
24	místo
25	k
26	parkování
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Klasickou	ADJ	3	amod
2	nerudovskou	ADJ	3	amod
3	otázku	NOUN	9	obj
4	Kam	ADV	3	dep
5	s	ADP	6	case
6	ním	PRON	3	dep
7	si	PRON	9	obl:arg
8	často	ADV	9	advmod
9	kladou	VERB	0	root
10	poslanci	NOUN	9	nsubj
11	,	PUNCT	14	punct
12	když	SCONJ	14	mark
13	nervózně	ADV	14	advmod
14	popojíždějí	VERB	9	advcl
15	svými	DET	16	det
16	auty	NOUN	14	obl
17	úzkými	ADJ	21	amod
18	a	CCONJ	19	cc
19	strmými	ADJ	17	conj
20	malostranskými	ADJ	21	amod
21	uličkami	NOUN	14	obl
22	a	CCONJ	23	cc
23	hledají	VERB	9	conj
24	místo	NOUN	23	obj
25	k	ADP	26	case
26	parkování	NOUN	24	nmod
27	.	PUNCT	9	punct