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:
Základní jmění společnosti činí necelých 177 miliónů korun, přičemž Pražský stavební podnik vlastní také podíly ve společnostech Kerast a Götzen Hobby-Stav PSP Praha.
Postion	Tokenization
1	Základní
2	jmění
3	společnosti
4	činí
5	necelých
6	177
7	miliónů
8	korun
9	,
10	přičemž
11	Pražský
12	stavební
13	podnik
14	vlastní
15	také
16	podíly
17	ve
18	společnostech
19	Kerast
20	a
21	Götzen
22	Hobby
23	-
24	Stav
25	PSP
26	Praha
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Základní	ADJ	2	amod
2	jmění	NOUN	4	nsubj
3	společnosti	NOUN	2	nmod
4	činí	VERB	0	root
5	necelých	ADJ	6	amod
6	177	NUM	7	nummod:gov
7	miliónů	NOUN	4	obj
8	korun	NOUN	7	nmod
9	,	PUNCT	14	punct
10	přičemž	ADV	14	advmod
11	Pražský	ADJ	13	amod
12	stavební	ADJ	13	amod
13	podnik	NOUN	14	nsubj
14	vlastní	VERB	4	conj
15	také	ADV	14	advmod
16	podíly	NOUN	14	obj
17	ve	ADP	18	case
18	společnostech	NOUN	16	nmod
19	Kerast	PROPN	18	nmod
20	a	CCONJ	21	cc
21	Götzen	ADJ	19	conj
22	Hobby	NOUN	21	nmod
23	-	PUNCT	24	punct
24	Stav	PROPN	21	appos
25	PSP	PROPN	24	nmod
26	Praha	PROPN	25	nmod
27	.	PUNCT	4	punct