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 text: Na naši otázku, v čem může být v nových podmínkách kultuře prospěšný odbor kultury brněnského magistrátu, hájil jeho vedoucí dr. Stanislav Jabůrek tvrdošíjně potřebu "politických a řídicích funkcí" svého úřadu.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	3	case
2	naši	DET	3	det
3	otázku	NOUN	19	obl
4	,	PUNCT	7	punct
5	v	ADP	6	case
6	čem	PRON	7	obl
7	může	VERB	3	acl
8	být	AUX	13	cop
9	v	ADP	11	case
10	nových	ADJ	11	amod
11	podmínkách	NOUN	7	obl
12	kultuře	NOUN	13	obl:arg
13	prospěšný	ADJ	7	xcomp
14	odbor	NOUN	7	nsubj
15	kultury	NOUN	14	nmod
16	brněnského	ADJ	17	amod
17	magistrátu	NOUN	15	nmod
18	,	PUNCT	7	punct
19	hájil	VERB	0	root
20	jeho	DET	21	det
21	vedoucí	NOUN	19	nsubj
22	dr	NOUN	21	nmod
23	.	PUNCT	22	punct
24	Stanislav	PROPN	21	flat
25	Jabůrek	PROPN	21	flat
26	tvrdošíjně	ADV	19	advmod
27	potřebu	NOUN	19	obj
28	"	PUNCT	32	punct
29	politických	ADJ	32	amod
30	a	CCONJ	31	cc
31	řídicích	ADJ	29	conj
32	funkcí	NOUN	27	nmod
33	"	PUNCT	32	punct
34	svého	DET	35	det
35	úřadu	NOUN	32	nmod
36	.	PUNCT	19	punct