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: V nádvoří paláce Smiřických by měla být zřízena dokonce kavárna pro veřejnost, kde by vzhledem k nižšímu podnikatelskému nájmu mohly být i nižší ceny než v okolí, tedy káva za búra místo za třicet.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	nádvoří	NOUN	6	obl
3	paláce	NOUN	2	nmod
4	Smiřických	PROPN	3	nmod
5	by	AUX	6	aux
6	měla	VERB	0	root
7	být	AUX	8	aux:pass
8	zřízena	ADJ	6	obj
9	dokonce	ADV	10	advmod:emph
10	kavárna	NOUN	6	nsubj
11	pro	ADP	12	case
12	veřejnost	NOUN	10	nmod
13	,	PUNCT	21	punct
14	kde	ADV	22	advmod
15	by	AUX	21	aux
16	vzhledem	ADP	20	case
17	k	ADP	16	fixed
18	nižšímu	ADJ	20	amod
19	podnikatelskému	ADJ	20	amod
20	nájmu	NOUN	22	obl
21	mohly	VERB	10	acl:relcl
22	být	VERB	21	xcomp
23	i	CCONJ	25	advmod:emph
24	nižší	ADJ	25	amod
25	ceny	NOUN	21	nsubj
26	než	SCONJ	28	mark
27	v	ADP	28	case
28	okolí	NOUN	25	dep
29	,	PUNCT	21	punct
30	tedy	ADV	21	dep
31	káva	NOUN	21	dep
32	za	ADP	33	case
33	búra	NOUN	21	dep
34	místo	ADV	36	case
35	za	ADP	36	case
36	třicet	NUM	21	dep
37	.	PUNCT	6	punct