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:
Známý místní rodák Roman M., autor Průvodce pardubickými restauracemi, se upil k smrti po zjištění, že se narodil v Hradci Králové.
Postion	Tokenization
1	Známý
2	místní
3	rodák
4	Roman
5	M
6	.
7	,
8	autor
9	Průvodce
10	pardubickými
11	restauracemi
12	,
13	se
14	upil
15	k
16	smrti
17	po
18	zjištění
19	,
20	že
21	se
22	narodil
23	v
24	Hradci
25	Králové
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Známý	ADJ	3	amod
2	místní	ADJ	3	amod
3	rodák	NOUN	14	nsubj
4	Roman	PROPN	3	flat
5	M	PROPN	3	flat
6	.	PUNCT	5	punct
7	,	PUNCT	8	punct
8	autor	NOUN	3	appos
9	Průvodce	NOUN	8	nmod
10	pardubickými	ADJ	11	amod
11	restauracemi	NOUN	9	nmod
12	,	PUNCT	8	punct
13	se	PRON	14	expl:pv
14	upil	VERB	0	root
15	k	ADP	16	case
16	smrti	NOUN	14	obl
17	po	ADP	18	case
18	zjištění	NOUN	14	obl
19	,	PUNCT	22	punct
20	že	SCONJ	22	mark
21	se	PRON	22	expl:pv
22	narodil	VERB	18	acl
23	v	ADP	24	case
24	Hradci	PROPN	22	obl
25	Králové	PROPN	24	nmod
26	.	PUNCT	14	punct