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: Důležité bude sladit koncepčně rozvoj tržnice se sousedními pozemky mezi nádražím Holešovice a Bubny, kde je největší nezastavěný prostor v oblasti rozšířeného centra Prahy a kde by v budoucnu mělo vzniknout moderní centrum hlavního města.
Position	Tokenization	UPOS	Head	Deprel
1	Důležité	ADJ	0	root
2	bude	AUX	1	cop
3	sladit	VERB	1	csubj
4	koncepčně	ADV	3	advmod
5	rozvoj	NOUN	3	obj
6	tržnice	NOUN	5	nmod
7	se	ADP	9	case
8	sousedními	ADJ	9	amod
9	pozemky	NOUN	3	obl:arg
10	mezi	ADP	11	case
11	nádražím	NOUN	9	nmod
12	Holešovice	PROPN	11	nmod
13	a	CCONJ	14	cc
14	Bubny	PROPN	12	conj
15	,	PUNCT	17	punct
16	kde	ADV	17	advmod
17	je	VERB	11	acl:relcl
18	největší	ADJ	20	amod
19	nezastavěný	ADJ	20	amod
20	prostor	NOUN	17	nsubj
21	v	ADP	24	case
22	oblasti	NOUN	21	fixed
23	rozšířeného	ADJ	24	amod
24	centra	NOUN	18	obl
25	Prahy	PROPN	24	nmod
26	a	CCONJ	31	cc
27	kde	ADV	31	advmod
28	by	AUX	31	aux
29	v	ADP	30	case
30	budoucnu	NOUN	31	obl
31	mělo	VERB	17	conj
32	vzniknout	VERB	31	xcomp
33	moderní	ADJ	34	amod
34	centrum	NOUN	31	nsubj
35	hlavního	ADJ	36	amod
36	města	NOUN	34	nmod
37	.	PUNCT	1	punct