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:
Asi nejvýstižněji charakterizoval vztah Rusů k rozpínavému státu ve státě, ke státu úředníků, německý podnikatel, jeden z prvních majitelů zahraniční restaurace v Petrohradě.
Postion	Tokenization
1	Asi
2	nejvýstižněji
3	charakterizoval
4	vztah
5	Rusů
6	k
7	rozpínavému
8	státu
9	ve
10	státě
11	,
12	ke
13	státu
14	úředníků
15	,
16	německý
17	podnikatel
18	,
19	jeden
20	z
21	prvních
22	majitelů
23	zahraniční
24	restaurace
25	v
26	Petrohradě
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Asi	PART	2	advmod:emph
2	nejvýstižněji	ADV	3	advmod
3	charakterizoval	VERB	0	root
4	vztah	NOUN	3	obj
5	Rusů	PROPN	4	nmod
6	k	ADP	8	case
7	rozpínavému	ADJ	8	amod
8	státu	NOUN	4	nmod
9	ve	ADP	10	case
10	státě	NOUN	8	nmod
11	,	PUNCT	13	punct
12	ke	ADP	13	case
13	státu	NOUN	8	appos
14	úředníků	NOUN	13	nmod
15	,	PUNCT	13	punct
16	německý	ADJ	17	amod
17	podnikatel	NOUN	3	nsubj
18	,	PUNCT	19	punct
19	jeden	NUM	17	appos
20	z	ADP	22	case
21	prvních	ADJ	22	amod
22	majitelů	NOUN	19	nmod
23	zahraniční	ADJ	24	amod
24	restaurace	NOUN	22	nmod
25	v	ADP	26	case
26	Petrohradě	PROPN	22	nmod
27	.	PUNCT	3	punct