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:
Hranice mezi realitou, snem a mýtem se přece už dávno setřely, podobně jako hustě nanesená rtěnka barvy krve na rtech surově zavražděné dcery úctyhodného místního občana Lelanda Palmera.
Postion	Tokenization
1	Hranice
2	mezi
3	realitou
4	,
5	snem
6	a
7	mýtem
8	se
9	přece
10	už
11	dávno
12	setřely
13	,
14	podobně
15	jako
16	hustě
17	nanesená
18	rtěnka
19	barvy
20	krve
21	na
22	rtech
23	surově
24	zavražděné
25	dcery
26	úctyhodného
27	místního
28	občana
29	Lelanda
30	Palmera
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Hranice	NOUN	12	nsubj:pass
2	mezi	ADP	3	case
3	realitou	NOUN	1	nmod
4	,	PUNCT	5	punct
5	snem	NOUN	3	conj
6	a	CCONJ	7	cc
7	mýtem	NOUN	3	conj
8	se	PRON	12	expl:pass
9	přece	ADV	12	advmod
10	už	ADV	11	advmod:emph
11	dávno	ADV	12	advmod
12	setřely	VERB	0	root
13	,	PUNCT	14	punct
14	podobně	ADV	12	advmod
15	jako	SCONJ	18	mark
16	hustě	ADV	18	advmod
17	nanesená	ADJ	18	amod
18	rtěnka	NOUN	14	advcl
19	barvy	NOUN	18	nmod
20	krve	NOUN	19	nmod
21	na	ADP	22	case
22	rtech	NOUN	18	nmod
23	surově	ADV	25	advmod
24	zavražděné	ADJ	25	amod
25	dcery	NOUN	22	nmod
26	úctyhodného	ADJ	28	amod
27	místního	ADJ	28	amod
28	občana	NOUN	25	nmod
29	Lelanda	PROPN	28	flat
30	Palmera	PROPN	28	flat
31	.	PUNCT	12	punct