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: Podle ředitele Českého centra Milana Sedláčka může být Pražská 5 pro Vídeň zajímavá i tím, že zde žádné obdobné generační seskupení nenajdeme, alespoň ne v té šíři a kvalitě, jakou představuje Pražská 5.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	ředitele	NOUN	7	obl
3	Českého	ADJ	4	amod
4	centra	NOUN	2	nmod
5	Milana	PROPN	2	flat
6	Sedláčka	PROPN	2	flat
7	může	VERB	0	root
8	být	AUX	13	cop
9	Pražská	ADJ	10	amod
10	5	NUM	7	nsubj
11	pro	ADP	12	case
12	Vídeň	PROPN	13	obl
13	zajímavá	ADJ	7	xcomp
14	i	CCONJ	15	advmod:emph
15	tím	DET	13	obl
16	,	PUNCT	23	punct
17	že	SCONJ	23	mark
18	zde	ADV	23	advmod
19	žádné	DET	22	det
20	obdobné	ADJ	22	amod
21	generační	ADJ	22	amod
22	seskupení	NOUN	23	obj
23	nenajdeme	VERB	15	acl
24	,	PUNCT	29	punct
25	alespoň	ADV	29	advmod:emph
26	ne	PART	29	advmod:emph
27	v	ADP	29	case
28	té	DET	29	det
29	šíři	NOUN	23	obl
30	a	CCONJ	31	cc
31	kvalitě	NOUN	29	conj
32	,	PUNCT	34	punct
33	jakou	DET	34	obj
34	představuje	VERB	29	acl:relcl
35	Pražská	ADJ	36	amod
36	5	NUM	34	nsubj
37	.	PUNCT	7	punct