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:
Obtížně se shánějí stavební parcely, zejména ve starších lokalitách, kde metr čtvereční průměrného pozemku bez větší zahrady přijde až na 3000 korun, v menších městech a vesnicích je za 500 až 1500 Kč.
Postion	Tokenization
1	Obtížně
2	se
3	shánějí
4	stavební
5	parcely
6	,
7	zejména
8	ve
9	starších
10	lokalitách
11	,
12	kde
13	metr
14	čtvereční
15	průměrného
16	pozemku
17	bez
18	větší
19	zahrady
20	přijde
21	až
22	na
23	3000
24	korun
25	,
26	v
27	menších
28	městech
29	a
30	vesnicích
31	je
32	za
33	500
34	až
35	1500
36	Kč
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Obtížně	ADV	3	advmod
2	se	PRON	3	expl:pass
3	shánějí	VERB	0	root
4	stavební	ADJ	5	amod
5	parcely	NOUN	3	nsubj:pass
6	,	PUNCT	10	punct
7	zejména	ADV	10	advmod:emph
8	ve	ADP	10	case
9	starších	ADJ	10	amod
10	lokalitách	NOUN	5	nmod
11	,	PUNCT	20	punct
12	kde	ADV	20	advmod
13	metr	NOUN	20	nsubj
14	čtvereční	ADJ	13	amod
15	průměrného	ADJ	16	amod
16	pozemku	NOUN	13	nmod
17	bez	ADP	19	case
18	větší	ADJ	19	amod
19	zahrady	NOUN	16	nmod
20	přijde	VERB	10	acl:relcl
21	až	PART	23	advmod:emph
22	na	ADP	24	case
23	3000	NUM	24	nummod:gov
24	korun	NOUN	20	obl:arg
25	,	PUNCT	31	punct
26	v	ADP	28	case
27	menších	ADJ	28	amod
28	městech	NOUN	31	obl
29	a	CCONJ	30	cc
30	vesnicích	NOUN	28	conj
31	je	VERB	3	conj
32	za	ADP	33	case
33	500	NUM	31	obl
34	až	CCONJ	35	cc
35	1500	NUM	33	conj
36	Kč	NOUN	33	nmod
37	.	PUNCT	3	punct