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:
Nicméně přesvědčivě vyvracejí čítankově jímavý příběh o zámožném mirotickém měšťanovi, kterého zhoubný požár města v roce 1811 přiměl vydat se s loutkami na pouť českým venkovem.
Postion	Tokenization
1	Nicméně
2	přesvědčivě
3	vyvracejí
4	čítankově
5	jímavý
6	příběh
7	o
8	zámožném
9	mirotickém
10	měšťanovi
11	,
12	kterého
13	zhoubný
14	požár
15	města
16	v
17	roce
18	1811
19	přiměl
20	vydat
21	se
22	s
23	loutkami
24	na
25	pouť
26	českým
27	venkovem
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Nicméně	CCONJ	3	cc
2	přesvědčivě	ADV	3	advmod
3	vyvracejí	VERB	0	root
4	čítankově	ADV	5	advmod
5	jímavý	ADJ	6	amod
6	příběh	NOUN	3	obj
7	o	ADP	10	case
8	zámožném	ADJ	10	amod
9	mirotickém	ADJ	10	amod
10	měšťanovi	NOUN	6	nmod
11	,	PUNCT	19	punct
12	kterého	DET	19	iobj
13	zhoubný	ADJ	14	amod
14	požár	NOUN	19	nsubj
15	města	NOUN	14	nmod
16	v	ADP	17	case
17	roce	NOUN	14	nmod
18	1811	NUM	17	nummod
19	přiměl	VERB	10	acl:relcl
20	vydat	VERB	19	xcomp
21	se	PRON	20	expl:pv
22	s	ADP	23	case
23	loutkami	NOUN	20	obl
24	na	ADP	25	case
25	pouť	NOUN	20	obl
26	českým	ADJ	27	amod
27	venkovem	NOUN	25	nmod
28	.	PUNCT	3	punct