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: Po schůzce se zástupci města na českokrumlovské radnici mj. řekl, že za velmi inspirativní považuje, jak radnice prostřednictvím městem založeného fondu a nadací motivuje občany k zájmu na rozvoji Krumlova.
Position	Tokenization	UPOS	Head	Deprel
1	Po	ADP	2	case
2	schůzce	NOUN	11	obl
3	se	ADP	4	case
4	zástupci	NOUN	2	nmod
5	města	NOUN	4	nmod
6	na	ADP	8	case
7	českokrumlovské	ADJ	8	amod
8	radnici	NOUN	2	nmod
9	mj	ADV	11	advmod
10	.	PUNCT	9	punct
11	řekl	VERB	0	root
12	,	PUNCT	17	punct
13	že	SCONJ	17	mark
14	za	ADP	16	case
15	velmi	ADV	16	advmod
16	inspirativní	ADJ	17	obl:arg
17	považuje	VERB	11	ccomp
18	,	PUNCT	27	punct
19	jak	SCONJ	27	mark
20	radnice	NOUN	27	nsubj
21	prostřednictvím	NOUN	24	case
22	městem	NOUN	23	obl:arg
23	založeného	ADJ	24	amod
24	fondu	NOUN	27	obl
25	a	CCONJ	26	cc
26	nadací	NOUN	24	conj
27	motivuje	VERB	17	ccomp
28	občany	NOUN	27	obj
29	k	ADP	30	case
30	zájmu	NOUN	27	obl:arg
31	na	ADP	32	case
32	rozvoji	NOUN	30	nmod
33	Krumlova	PROPN	32	nmod
34	.	PUNCT	11	punct