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:
Krajský soud v Brně odročil kvůli výslechu dalších svědků na listopad proces s Pavlem Blechou z České Lípy a Tomášem Červeným z Liberce, obviněných z pašování tvrdých drog.
Postion	Tokenization
1	Krajský
2	soud
3	v
4	Brně
5	odročil
6	kvůli
7	výslechu
8	dalších
9	svědků
10	na
11	listopad
12	proces
13	s
14	Pavlem
15	Blechou
16	z
17	České
18	Lípy
19	a
20	Tomášem
21	Červeným
22	z
23	Liberce
24	,
25	obviněných
26	z
27	pašování
28	tvrdých
29	drog
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Krajský	ADJ	2	amod
2	soud	NOUN	5	nsubj
3	v	ADP	4	case
4	Brně	PROPN	2	nmod
5	odročil	VERB	0	root
6	kvůli	ADP	7	case
7	výslechu	NOUN	5	obl
8	dalších	ADJ	9	amod
9	svědků	NOUN	7	nmod
10	na	ADP	11	case
11	listopad	NOUN	5	obl
12	proces	NOUN	5	obj
13	s	ADP	14	case
14	Pavlem	PROPN	12	nmod
15	Blechou	PROPN	14	flat
16	z	ADP	18	case
17	České	ADJ	18	amod
18	Lípy	PROPN	14	nmod
19	a	CCONJ	20	cc
20	Tomášem	PROPN	14	conj
21	Červeným	PROPN	20	flat
22	z	ADP	23	case
23	Liberce	PROPN	20	nmod
24	,	PUNCT	25	punct
25	obviněných	ADJ	14	amod
26	z	ADP	27	case
27	pašování	NOUN	25	obl:arg
28	tvrdých	ADJ	29	amod
29	drog	NOUN	27	nmod
30	.	PUNCT	5	punct