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 koupelně jednoho baru na newyorské Lower East Street rozmíchá žiletkou asi gram bílé hmoty a prášek nasypaný na zrcadlovou plochu pouzdra nabízí svému méně zkušenému příteli.
Postion	Tokenization
1	V
2	koupelně
3	jednoho
4	baru
5	na
6	newyorské
7	Lower
8	East
9	Street
10	rozmíchá
11	žiletkou
12	asi
13	gram
14	bílé
15	hmoty
16	a
17	prášek
18	nasypaný
19	na
20	zrcadlovou
21	plochu
22	pouzdra
23	nabízí
24	svému
25	méně
26	zkušenému
27	příteli
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	koupelně	NOUN	10	obl
3	jednoho	NUM	4	nummod
4	baru	NOUN	2	nmod
5	na	ADP	7	case
6	newyorské	ADJ	7	amod
7	Lower	ADJ	4	nmod
8	East	ADJ	7	flat:foreign
9	Street	PROPN	7	flat:foreign
10	rozmíchá	VERB	0	root
11	žiletkou	NOUN	10	obl
12	asi	PART	13	advmod:emph
13	gram	NOUN	10	obj
14	bílé	ADJ	15	amod
15	hmoty	NOUN	13	nmod
16	a	CCONJ	23	cc
17	prášek	NOUN	23	obj
18	nasypaný	ADJ	17	amod
19	na	ADP	21	case
20	zrcadlovou	ADJ	21	amod
21	plochu	NOUN	18	obl
22	pouzdra	NOUN	21	nmod
23	nabízí	VERB	10	conj
24	svému	DET	27	det
25	méně	ADV	26	advmod
26	zkušenému	NOUN	27	nmod
27	příteli	NOUN	23	obl:arg
28	.	PUNCT	10	punct