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:
Jak Schneider pečoval o rozvoj vlastní osobnosti, dokazuje skutečnost, že nájmy z velikých objektů po léta převáděl na soukromá konta ve Švýcarsku.
Postion	Tokenization
1	Jak
2	Schneider
3	pečoval
4	o
5	rozvoj
6	vlastní
7	osobnosti
8	,
9	dokazuje
10	skutečnost
11	,
12	že
13	nájmy
14	z
15	velikých
16	objektů
17	po
18	léta
19	převáděl
20	na
21	soukromá
22	konta
23	ve
24	Švýcarsku
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	3	mark
2	Schneider	PROPN	3	nsubj
3	pečoval	VERB	9	ccomp
4	o	ADP	5	case
5	rozvoj	NOUN	3	obl:arg
6	vlastní	VERB	7	acl
7	osobnosti	NOUN	5	nmod
8	,	PUNCT	3	punct
9	dokazuje	VERB	0	root
10	skutečnost	NOUN	9	nsubj
11	,	PUNCT	19	punct
12	že	SCONJ	19	mark
13	nájmy	NOUN	19	obj
14	z	ADP	16	case
15	velikých	ADJ	16	amod
16	objektů	NOUN	13	nmod
17	po	ADP	18	case
18	léta	NOUN	19	obl
19	převáděl	VERB	10	acl
20	na	ADP	22	case
21	soukromá	ADJ	22	amod
22	konta	NOUN	19	obl
23	ve	ADP	24	case
24	Švýcarsku	PROPN	22	nmod
25	.	PUNCT	9	punct