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:
Spor o ochrannou známku Škoda, která má hodnotu 18 miliard korun, mezi plzeňskou Škodovkou a mladoboleslavskou automobilkou by mělo koncem září řešit ministerstvo průmyslu a obchodu.
Postion	Tokenization
1	Spor
2	o
3	ochrannou
4	známku
5	Škoda
6	,
7	která
8	má
9	hodnotu
10	18
11	miliard
12	korun
13	,
14	mezi
15	plzeňskou
16	Škodovkou
17	a
18	mladoboleslavskou
19	automobilkou
20	by
21	mělo
22	koncem
23	září
24	řešit
25	ministerstvo
26	průmyslu
27	a
28	obchodu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Spor	NOUN	24	obj
2	o	ADP	4	case
3	ochrannou	ADJ	4	amod
4	známku	NOUN	1	nmod
5	Škoda	PROPN	4	nmod
6	,	PUNCT	8	punct
7	která	DET	8	nsubj
8	má	VERB	4	acl:relcl
9	hodnotu	NOUN	8	obj
10	18	NUM	11	nummod:gov
11	miliard	NOUN	9	nmod
12	korun	NOUN	11	nmod
13	,	PUNCT	8	punct
14	mezi	ADP	16	case
15	plzeňskou	ADJ	16	amod
16	Škodovkou	NOUN	1	nmod
17	a	CCONJ	19	cc
18	mladoboleslavskou	ADJ	19	amod
19	automobilkou	NOUN	16	conj
20	by	AUX	21	aux
21	mělo	VERB	0	root
22	koncem	NOUN	23	case
23	září	NOUN	21	obl
24	řešit	VERB	21	xcomp
25	ministerstvo	NOUN	21	nsubj
26	průmyslu	NOUN	25	nmod
27	a	CCONJ	28	cc
28	obchodu	NOUN	26	conj
29	.	PUNCT	21	punct