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:
K jejich chvále budiž řečeno, že stále ještě pracují spíše za uznávací poplatek, či rovnou zadarmo (i když nová byrokracie již také aktivně vystrkuje růžky).
Postion	Tokenization
1	K
2	jejich
3	chvále
4	budiž
5	řečeno
6	,
7	že
8	stále
9	ještě
10	pracují
11	spíše
12	za
13	uznávací
14	poplatek
15	_
16	,
17	či
18	rovnou
19	zadarmo
20	(
21	i
22	když
23	nová
24	byrokracie
25	již
26	také
27	aktivně
28	vystrkuje
29	růžky
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	3	case
2	jejich	DET	3	det
3	chvále	NOUN	5	obl
4	budiž	AUX	5	aux:pass
5	řečeno	ADJ	0	root
6	,	PUNCT	10	punct
7	že	SCONJ	10	mark
8	stále	ADV	10	advmod
9	ještě	ADV	10	advmod
10	pracují	VERB	5	ccomp
11	spíše	ADV	10	advmod
12	za	ADP	14	case
13	uznávací	ADJ	14	amod
14	poplatek	NOUN	10	obl
15	_	_	None	_
16	,	PUNCT	17	punct
17	či	CCONJ	17	cc
18	rovnou	ADV	10	conj
19	zadarmo	ADV	17	orphan
20	(	PUNCT	27	punct
21	i	CCONJ	27	mark
22	když	SCONJ	20	fixed
23	nová	ADJ	23	amod
24	byrokracie	NOUN	27	nsubj
25	již	ADV	25	advmod:emph
26	také	ADV	27	advmod
27	aktivně	ADV	27	advmod
28	vystrkuje	VERB	18	advcl
29	růžky	NOUN	27	obj
30	)	PUNCT	27	punct
31	.	PUNCT	5	punct