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:
Jednak je mezi lidmi již méně skutečně dobrých věcí na prodej, jednak není radno pouštět si do bytu zájemce o koupi obrazu nebo uvést v inzerátu adresu.
Postion	Tokenization
1	Jednak
2	je
3	mezi
4	lidmi
5	již
6	méně
7	skutečně
8	dobrých
9	věcí
10	na
11	prodej
12	,
13	jednak
14	není
15	radno
16	pouštět
17	si
18	do
19	bytu
20	zájemce
21	o
22	koupi
23	obrazu
24	nebo
25	uvést
26	v
27	inzerátu
28	adresu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Jednak	CCONJ	2	cc
2	je	VERB	0	root
3	mezi	ADP	4	case
4	lidmi	NOUN	2	obl
5	již	ADV	6	advmod:emph
6	méně	ADV	2	nsubj
7	skutečně	ADV	8	advmod
8	dobrých	ADJ	9	obl
9	věcí	NOUN	6	nmod
10	na	ADP	11	case
11	prodej	NOUN	9	nmod
12	,	PUNCT	15	punct
13	jednak	CCONJ	15	cc
14	není	AUX	15	cop
15	radno	ADJ	2	conj
16	pouštět	VERB	15	csubj
17	si	PRON	16	discourse
18	do	ADP	19	case
19	bytu	NOUN	16	obl
20	zájemce	NOUN	16	obj
21	o	ADP	22	case
22	koupi	NOUN	20	nmod
23	obrazu	NOUN	22	nmod
24	nebo	CCONJ	25	cc
25	uvést	VERB	16	conj
26	v	ADP	27	case
27	inzerátu	NOUN	25	obl
28	adresu	NOUN	25	obj
29	.	PUNCT	2	punct