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:
V Praze rychle bují drogový černý trh s látkami nám po dlouhá léta neznámými, jako je heroin, kokain, LSD a dokonce relativní novinka Ectasy.
Postion	Tokenization
1	V
2	Praze
3	rychle
4	bují
5	drogový
6	černý
7	trh
8	s
9	látkami
10	nám
11	po
12	dlouhá
13	léta
14	neznámými
15	,
16	jako
17	je
18	heroin
19	,
20	kokain
21	,
22	LSD
23	a
24	dokonce
25	relativní
26	novinka
27	Ectasy
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	Praze	PROPN	4	obl
3	rychle	ADV	4	advmod
4	bují	VERB	0	root
5	drogový	ADJ	7	amod
6	černý	ADJ	7	amod
7	trh	NOUN	4	nsubj
8	s	ADP	9	case
9	látkami	NOUN	7	nmod
10	nám	PRON	14	obl:arg
11	po	ADP	13	case
12	dlouhá	ADJ	13	amod
13	léta	NOUN	14	obl
14	neznámými	ADJ	9	amod
15	,	PUNCT	17	punct
16	jako	SCONJ	17	mark
17	je	VERB	9	acl
18	heroin	NOUN	17	nsubj
19	,	PUNCT	20	punct
20	kokain	NOUN	18	conj
21	,	PUNCT	22	punct
22	LSD	NOUN	18	conj
23	a	CCONJ	26	cc
24	dokonce	ADV	26	advmod:emph
25	relativní	ADJ	26	amod
26	novinka	NOUN	18	conj
27	Ectasy	NOUN	26	nmod
28	.	PUNCT	4	punct