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:
o Váš český nakladatel mimo jiné právě na příkladu Černé skříňky, jíž se u nás zatím prodala necelá tisícovka, poukázal na klesající zájem o kvalitní světovou beletrii.
Postion	Tokenization
1	o
2	Váš
3	český
4	nakladatel
5	mimo
6	jiné
7	právě
8	na
9	příkladu
10	Černé
11	skříňky
12	,
13	jíž
14	se
15	u
16	nás
17	zatím
18	prodala
19	necelá
20	tisícovka
21	,
22	poukázal
23	na
24	klesající
25	zájem
26	o
27	kvalitní
28	světovou
29	beletrii
30	.
Position	Tokenization	UPOS	Head	Deprel
1	o	PUNCT	22	punct
2	Váš	DET	4	det
3	český	ADJ	4	amod
4	nakladatel	NOUN	22	nsubj
5	mimo	ADP	6	case
6	jiné	ADJ	22	obl
7	právě	ADV	9	advmod:emph
8	na	ADP	9	case
9	příkladu	NOUN	22	obl
10	Černé	ADJ	11	amod
11	skříňky	NOUN	9	nmod
12	,	PUNCT	18	punct
13	jíž	PRON	20	nmod
14	se	PRON	18	expl:pass
15	u	ADP	16	case
16	nás	PRON	18	obl
17	zatím	ADV	18	advmod
18	prodala	VERB	11	acl:relcl
19	necelá	ADJ	20	amod
20	tisícovka	NOUN	18	nsubj:pass
21	,	PUNCT	18	punct
22	poukázal	VERB	0	root
23	na	ADP	25	case
24	klesající	ADJ	25	amod
25	zájem	NOUN	22	obl:arg
26	o	ADP	29	case
27	kvalitní	ADJ	29	amod
28	světovou	ADJ	29	amod
29	beletrii	NOUN	25	nmod
30	.	PUNCT	22	punct