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:
Co dělá realitní kancelář pro to, aby člověk s takovým problémovým domkem, jak ho popsal náš čtenář, měl šanci na prodej?
Postion	Tokenization
1	Co
2	dělá
3	realitní
4	kancelář
5	pro
6	to
7	,
8	aby
9	aby
10	by
11	člověk
12	s
13	takovým
14	problémovým
15	domkem
16	,
17	jak
18	ho
19	popsal
20	náš
21	čtenář
22	,
23	měl
24	šanci
25	na
26	prodej
27	?
Position	Tokenization	UPOS	Head	Deprel
1	Co	PRON	2	obj
2	dělá	VERB	0	root
3	realitní	ADJ	4	amod
4	kancelář	NOUN	2	nsubj
5	pro	ADP	6	case
6	to	DET	2	obl
7	,	PUNCT	22	punct
8	aby	_	None	_
9	aby	SCONJ	22	mark
10	by	AUX	22	aux
11	člověk	NOUN	22	nsubj
12	s	ADP	14	case
13	takovým	DET	14	det
14	problémovým	ADJ	14	amod
15	domkem	NOUN	10	nmod
16	,	PUNCT	18	punct
17	jak	ADV	18	advmod
18	ho	PRON	18	obj
19	popsal	VERB	14	acl
20	náš	DET	20	det
21	čtenář	NOUN	18	nsubj
22	,	PUNCT	18	punct
23	měl	VERB	6	acl
24	šanci	NOUN	22	obj
25	na	ADP	25	case
26	prodej	NOUN	23	nmod
27	?	PUNCT	2	punct