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: Podobných vhodných míst by se našlo po naší republice hodně, zejména v městech s velkými převýšeními, která byla bývalým federálním ministerstvem dopravy vytipována k zavedení trolejbusové dopravy (Liberec, Jablonec n. N., Karlovy Vary, Karviná, Havířov, Příbram, Přerov atd.).
Position	Tokenization	UPOS	Head	Deprel
1	Podobných	ADJ	3	amod
2	vhodných	ADJ	3	amod
3	míst	NOUN	10	nmod
4	by	AUX	6	aux
5	se	PRON	6	expl:pass
6	našlo	VERB	0	root
7	po	ADP	9	case
8	naší	DET	9	det
9	republice	NOUN	6	obl
10	hodně	ADV	6	nsubj:pass
11	,	PUNCT	14	punct
12	zejména	ADV	14	advmod:emph
13	v	ADP	14	case
14	městech	NOUN	6	obl
15	s	ADP	17	case
16	velkými	ADJ	17	amod
17	převýšeními	NOUN	14	nmod
18	,	PUNCT	25	punct
19	která	DET	25	nsubj:pass
20	byla	AUX	25	aux:pass
21	bývalým	ADJ	23	amod
22	federálním	ADJ	23	amod
23	ministerstvem	NOUN	25	obl:arg
24	dopravy	NOUN	23	nmod
25	vytipována	ADJ	14	amod
26	k	ADP	27	case
27	zavedení	NOUN	25	obl
28	trolejbusové	ADJ	29	amod
29	dopravy	NOUN	27	nmod
30	(	PUNCT	31	punct
31	Liberec	PROPN	14	dep
32	,	PUNCT	33	punct
33	Jablonec	PROPN	31	conj
34	n	ADP	36	case
35	.	PUNCT	36	punct
36	N	PROPN	33	nmod
37	.	PUNCT	36	punct
38	,	PUNCT	40	punct
39	Karlovy	ADJ	40	amod
40	Vary	PROPN	31	conj
41	,	PUNCT	42	punct
42	Karviná	PROPN	31	conj
43	,	PUNCT	44	punct
44	Havířov	PROPN	31	conj
45	,	PUNCT	46	punct
46	Příbram	PROPN	31	conj
47	,	PUNCT	48	punct
48	Přerov	PROPN	31	conj
49	atd	ADV	48	cc
50	.	PUNCT	31	punct
51	)	PUNCT	31	punct
52	.	PUNCT	6	punct