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:
Myslivec Tomáš Svoboda z Češova byl pak popraven za přechovávání nekatolické literatury a za neúctu ke sv. Janu Nepomuckému nikoli na nádvoří Hradu, ale 29. ledna 1726 v Kopidlně.
Postion	Tokenization
1	Myslivec
2	Tomáš
3	Svoboda
4	z
5	Češova
6	byl
7	pak
8	popraven
9	za
10	přechovávání
11	nekatolické
12	literatury
13	a
14	za
15	neúctu
16	ke
17	sv
18	.
19	Janu
20	Nepomuckému
21	nikoli
22	na
23	nádvoří
24	Hradu
25	,
26	ale
27	29
28	.
29	ledna
30	1726
31	v
32	Kopidlně
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Myslivec	NOUN	8	nsubj:pass
2	Tomáš	PROPN	1	flat
3	Svoboda	PROPN	1	flat
4	z	ADP	5	case
5	Češova	PROPN	1	nmod
6	byl	AUX	8	aux:pass
7	pak	ADV	8	advmod
8	popraven	ADJ	0	root
9	za	ADP	10	case
10	přechovávání	NOUN	8	obl
11	nekatolické	ADJ	12	amod
12	literatury	NOUN	10	nmod
13	a	CCONJ	15	cc
14	za	ADP	15	case
15	neúctu	NOUN	10	conj
16	ke	ADP	19	case
17	sv	ADJ	19	amod
18	.	PUNCT	17	punct
19	Janu	PROPN	15	nmod
20	Nepomuckému	PROPN	19	flat
21	nikoli	ADV	23	advmod:emph
22	na	ADP	23	case
23	nádvoří	NOUN	8	dep
24	Hradu	NOUN	23	nmod
25	,	PUNCT	29	punct
26	ale	CCONJ	29	cc
27	29	NUM	29	nummod
28	.	PUNCT	27	punct
29	ledna	NOUN	23	conj
30	1726	NUM	29	nummod
31	v	ADP	32	case
32	Kopidlně	PROPN	23	conj
33	.	PUNCT	8	punct