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:
Největší česká sladovnická společnost Obchodní sladovny, a. s., Prostějov uvádí v září do provozu novou výrobní linku na bázi technologie typu Lausmann.
Postion	Tokenization
1	Největší
2	česká
3	sladovnická
4	společnost
5	Obchodní
6	sladovny
7	,
8	a
9	.
10	s
11	.
12	,
13	Prostějov
14	uvádí
15	v
16	září
17	do
18	provozu
19	novou
20	výrobní
21	linku
22	na
23	bázi
24	technologie
25	typu
26	Lausmann
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Největší	ADJ	4	amod
2	česká	ADJ	4	amod
3	sladovnická	ADJ	4	amod
4	společnost	NOUN	14	nsubj
5	Obchodní	ADJ	6	amod
6	sladovny	NOUN	4	nmod
7	,	PUNCT	10	punct
8	a	ADJ	10	amod
9	.	PUNCT	8	punct
10	s	NOUN	6	nmod
11	.	PUNCT	10	punct
12	,	PUNCT	13	punct
13	Prostějov	PROPN	10	nmod
14	uvádí	VERB	0	root
15	v	ADP	16	case
16	září	NOUN	14	obl
17	do	ADP	18	case
18	provozu	NOUN	14	obl
19	novou	ADJ	21	amod
20	výrobní	ADJ	21	amod
21	linku	NOUN	14	obj
22	na	ADP	23	case
23	bázi	NOUN	21	nmod
24	technologie	NOUN	23	nmod
25	typu	NOUN	24	nmod
26	Lausmann	PROPN	25	nmod
27	.	PUNCT	14	punct