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:
Méně populární je noční centrum, ale právě to podle Koukala přispívá k urychlené profesionalizaci Rady: "O Perlovce dnes víme své, nějaká Uzlova interpelace nás rozhodně nezaskočí."
Postion	Tokenization
1	Méně
2	populární
3	je
4	noční
5	centrum
6	,
7	ale
8	právě
9	to
10	podle
11	Koukala
12	přispívá
13	k
14	urychlené
15	profesionalizaci
16	Rady
17	:
18	"
19	O
20	Perlovce
21	dnes
22	víme
23	své
24	,
25	nějaká
26	Uzlova
27	interpelace
28	nás
29	rozhodně
30	nezaskočí
31	.
32	"
Position	Tokenization	UPOS	Head	Deprel
1	Méně	ADV	2	advmod
2	populární	ADJ	0	root
3	je	AUX	2	cop
4	noční	ADJ	5	amod
5	centrum	NOUN	2	nsubj
6	,	PUNCT	12	punct
7	ale	CCONJ	12	cc
8	právě	ADV	9	advmod:emph
9	to	DET	12	nsubj
10	podle	ADP	11	case
11	Koukala	PROPN	12	obl
12	přispívá	VERB	2	conj
13	k	ADP	15	case
14	urychlené	ADJ	15	amod
15	profesionalizaci	NOUN	12	obl:arg
16	Rady	NOUN	15	nmod
17	:	PUNCT	22	punct
18	"	PUNCT	22	punct
19	O	ADP	20	case
20	Perlovce	PROPN	22	obl:arg
21	dnes	ADV	22	advmod
22	víme	VERB	2	conj
23	své	DET	22	obj
24	,	PUNCT	30	punct
25	nějaká	DET	27	det
26	Uzlova	ADJ	27	amod
27	interpelace	NOUN	30	nsubj
28	nás	PRON	30	obj
29	rozhodně	ADV	30	advmod
30	nezaskočí	VERB	22	conj
31	.	PUNCT	2	punct
32	"	PUNCT	2	punct