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:
K těm patří snímek Hory Taebaek, v němž nejznámější jihokorejský režisér Im Kwon-taek rekonstruuje levicové povstání a jeho krvavé následky v době dělení země.
Postion	Tokenization
1	K
2	těm
3	patří
4	snímek
5	Hory
6	Taebaek
7	,
8	v
9	němž
10	nejznámější
11	jihokorejský
12	režisér
13	Im
14	Kwon
15	-
16	taek
17	rekonstruuje
18	levicové
19	povstání
20	a
21	jeho
22	krvavé
23	následky
24	v
25	době
26	dělení
27	země
28	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	2	case
2	těm	DET	3	obl:arg
3	patří	VERB	0	root
4	snímek	NOUN	3	nsubj
5	Hory	NOUN	4	nmod
6	Taebaek	PROPN	5	nmod
7	,	PUNCT	17	punct
8	v	ADP	9	case
9	němž	PRON	17	obl
10	nejznámější	ADJ	12	amod
11	jihokorejský	ADJ	12	amod
12	režisér	NOUN	17	nsubj
13	Im	PROPN	12	flat
14	Kwon	PROPN	12	flat
15	-	PUNCT	14	punct
16	taek	PROPN	12	flat
17	rekonstruuje	VERB	4	acl:relcl
18	levicové	ADJ	19	amod
19	povstání	NOUN	17	obj
20	a	CCONJ	23	cc
21	jeho	DET	23	det
22	krvavé	ADJ	23	amod
23	následky	NOUN	19	conj
24	v	ADP	25	case
25	době	NOUN	23	nmod
26	dělení	NOUN	25	nmod
27	země	NOUN	26	nmod
28	.	PUNCT	3	punct