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:
Investici ve výši 400 milionů korun si vyžádala výstavba nové výrobní technologie na výrobu sladu, která byla v úterý uvedena do provozu v Obchodních sladovnách v Prostějově.
Postion	Tokenization
1	Investici
2	ve
3	výši
4	400
5	milionů
6	korun
7	si
8	vyžádala
9	výstavba
10	nové
11	výrobní
12	technologie
13	na
14	výrobu
15	sladu
16	,
17	která
18	byla
19	v
20	úterý
21	uvedena
22	do
23	provozu
24	v
25	Obchodních
26	sladovnách
27	v
28	Prostějově
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Investici	NOUN	8	obj
2	ve	ADP	3	case
3	výši	NOUN	1	nmod
4	400	NUM	5	nummod:gov
5	milionů	NOUN	3	nmod
6	korun	NOUN	5	nmod
7	si	PRON	8	expl:pv
8	vyžádala	VERB	0	root
9	výstavba	NOUN	8	nsubj
10	nové	ADJ	12	amod
11	výrobní	ADJ	12	amod
12	technologie	NOUN	9	nmod
13	na	ADP	14	case
14	výrobu	NOUN	12	nmod
15	sladu	NOUN	14	nmod
16	,	PUNCT	21	punct
17	která	DET	21	nsubj:pass
18	byla	AUX	21	aux:pass
19	v	ADP	20	case
20	úterý	NOUN	21	obl
21	uvedena	ADJ	9	amod
22	do	ADP	23	case
23	provozu	NOUN	21	obl
24	v	ADP	26	case
25	Obchodních	ADJ	26	amod
26	sladovnách	NOUN	21	obl
27	v	ADP	28	case
28	Prostějově	PROPN	26	nmod
29	.	PUNCT	8	punct