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:
Tento trend potvrzuje mimo jiné i růst počtu domů, které v posledních třech letech firma Pragoreal dostala do správcovství.
Postion	Tokenization
1	Tento
2	trend
3	potvrzuje
4	mimo
5	jiné
6	i
7	růst
8	počtu
9	domů
10	,
11	které
12	v
13	posledních
14	třech
15	letech
16	firma
17	Pragoreal
18	dostala
19	do
20	správcovství
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Tento	DET	2	det
2	trend	NOUN	3	obj
3	potvrzuje	VERB	0	root
4	mimo	ADP	5	case
5	jiné	ADJ	3	obl
6	i	CCONJ	7	advmod:emph
7	růst	NOUN	3	nsubj
8	počtu	NOUN	7	nmod
9	domů	NOUN	8	nmod
10	,	PUNCT	18	punct
11	které	DET	18	obj
12	v	ADP	15	case
13	posledních	ADJ	15	amod
14	třech	NUM	15	nummod
15	letech	NOUN	18	obl
16	firma	NOUN	18	nsubj
17	Pragoreal	PROPN	16	nmod
18	dostala	VERB	9	acl:relcl
19	do	ADP	20	case
20	správcovství	NOUN	18	obl
21	.	PUNCT	3	punct