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:
Automobilová akciová společnost Škoda Mladá Boleslav prodala podle svého tvrzení v srpnu v České republice 6539 vozů, což bylo o 48 procent více než ve stejném měsíci 1993.
Postion	Tokenization
1	Automobilová
2	akciová
3	společnost
4	Škoda
5	Mladá
6	Boleslav
7	prodala
8	podle
9	svého
10	tvrzení
11	v
12	srpnu
13	v
14	České
15	republice
16	6539
17	vozů
18	,
19	což
20	bylo
21	o
22	48
23	procent
24	více
25	než
26	ve
27	stejném
28	měsíci
29	1993
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Automobilová	ADJ	3	amod
2	akciová	ADJ	3	amod
3	společnost	NOUN	7	nsubj
4	Škoda	PROPN	3	nmod
5	Mladá	ADJ	6	amod
6	Boleslav	PROPN	4	nmod
7	prodala	VERB	0	root
8	podle	ADP	10	case
9	svého	DET	10	det
10	tvrzení	NOUN	7	obl
11	v	ADP	12	case
12	srpnu	NOUN	7	obl
13	v	ADP	15	case
14	České	ADJ	15	amod
15	republice	NOUN	7	obl
16	6539	NUM	17	nummod:gov
17	vozů	NOUN	7	obj
18	,	PUNCT	24	punct
19	což	PRON	24	nsubj
20	bylo	AUX	24	cop
21	o	ADP	23	case
22	48	NUM	23	nummod:gov
23	procent	NOUN	24	obl
24	více	ADV	7	conj
25	než	SCONJ	28	mark
26	ve	ADP	28	case
27	stejném	ADJ	28	amod
28	měsíci	NOUN	24	dep
29	1993	NUM	28	nummod
30	.	PUNCT	7	punct