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 jihokorejská automobilka Hyundai oznámila, že v uplynulém roce více než zdvojnásobila své zisky díky plynulé výrobě nepostižené stávkami.
Postion	Tokenization
1	Největší
2	jihokorejská
3	automobilka
4	Hyundai
5	oznámila
6	,
7	že
8	v
9	uplynulém
10	roce
11	více
12	než
13	zdvojnásobila
14	své
15	zisky
16	díky
17	plynulé
18	výrobě
19	nepostižené
20	stávkami
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Největší	ADJ	3	amod
2	jihokorejská	ADJ	3	amod
3	automobilka	NOUN	5	nsubj
4	Hyundai	PROPN	3	nmod
5	oznámila	VERB	0	root
6	,	PUNCT	13	punct
7	že	SCONJ	13	mark
8	v	ADP	10	case
9	uplynulém	ADJ	10	amod
10	roce	NOUN	13	obl
11	více	ADV	13	advmod
12	než	SCONJ	11	fixed
13	zdvojnásobila	VERB	5	ccomp
14	své	DET	15	det
15	zisky	NOUN	13	obj
16	díky	ADP	18	case
17	plynulé	ADJ	18	amod
18	výrobě	NOUN	13	obl
19	nepostižené	ADJ	18	amod
20	stávkami	NOUN	19	obl:arg
21	.	PUNCT	5	punct