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: ODA má nyní řádově desítky starostů (přesné číslo na sekretariátu ODA nebylo možné zjistit), např. v Hradci Králové, Českém Krumlově, Havlíčkově Brodě, Mostě a v pěti městských obvodech Prahy.
Position	Tokenization	UPOS	Head	Deprel
1	ODA	PROPN	2	nsubj
2	má	VERB	0	root
3	nyní	ADV	2	advmod
4	řádově	ADV	2	advmod
5	desítky	NOUN	2	obj
6	starostů	NOUN	5	nmod
7	(	PUNCT	14	punct
8	přesné	ADJ	9	amod
9	číslo	NOUN	15	obj
10	na	ADP	11	case
11	sekretariátu	NOUN	14	obl
12	ODA	PROPN	11	nmod
13	nebylo	AUX	14	cop
14	možné	ADJ	2	parataxis
15	zjistit	VERB	14	csubj
16	)	PUNCT	14	punct
17	,	PUNCT	21	punct
18	např	ADV	21	advmod:emph
19	.	PUNCT	18	punct
20	v	ADP	21	case
21	Hradci	PROPN	2	obl
22	Králové	PROPN	21	nmod
23	,	PUNCT	25	punct
24	Českém	ADJ	25	amod
25	Krumlově	PROPN	21	conj
26	,	PUNCT	28	punct
27	Havlíčkově	ADJ	28	amod
28	Brodě	PROPN	21	conj
29	,	PUNCT	30	punct
30	Mostě	PROPN	21	conj
31	a	CCONJ	35	cc
32	v	ADP	35	case
33	pěti	NUM	35	nummod
34	městských	ADJ	35	amod
35	obvodech	NOUN	21	conj
36	Prahy	PROPN	35	nmod
37	.	PUNCT	2	punct