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:
Vybudování tohoto systému, který by měl výrazně zvýšit účinnost kotlů, je rozloženo na zhruba deset let a jeho cena bude od 80 do 100 miliónů korun.
Postion	Tokenization
1	Vybudování
2	tohoto
3	systému
4	,
5	který
6	by
7	měl
8	výrazně
9	zvýšit
10	účinnost
11	kotlů
12	,
13	je
14	rozloženo
15	na
16	zhruba
17	deset
18	let
19	a
20	jeho
21	cena
22	bude
23	od
24	80
25	do
26	100
27	miliónů
28	korun
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Vybudování	NOUN	14	nsubj
2	tohoto	DET	3	det
3	systému	NOUN	1	nmod
4	,	PUNCT	7	punct
5	který	DET	7	nsubj
6	by	AUX	7	aux
7	měl	VERB	3	acl:relcl
8	výrazně	ADV	9	advmod
9	zvýšit	VERB	7	xcomp
10	účinnost	NOUN	9	obj
11	kotlů	NOUN	10	nmod
12	,	PUNCT	7	punct
13	je	AUX	14	cop
14	rozloženo	ADJ	0	root
15	na	ADP	18	case
16	zhruba	ADV	17	advmod:emph
17	deset	NUM	18	nummod:gov
18	let	NOUN	14	obl
19	a	CCONJ	22	cc
20	jeho	DET	21	det
21	cena	NOUN	22	nsubj
22	bude	VERB	14	conj
23	od	ADP	24	case
24	80	NUM	22	dep
25	do	ADP	27	case
26	100	NUM	27	nummod
27	miliónů	NOUN	22	obl
28	korun	NOUN	27	nmod
29	.	PUNCT	14	punct