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 současné době máme zaregistrováno už 4000 zájemců," řekl včera vedoucí prodejny Miloš Kopecký, "je mezi nimi řada invalidních občanů, jejich objednávky chceme vyřizovat přednostně.
Postion	Tokenization
1	"
2	V
3	současné
4	době
5	máme
6	zaregistrováno
7	už
8	4000
9	zájemců
10	,
11	"
12	řekl
13	včera
14	vedoucí
15	prodejny
16	Miloš
17	Kopecký
18	,
19	"
20	je
21	mezi
22	nimi
23	řada
24	invalidních
25	občanů
26	,
27	jejich
28	objednávky
29	chceme
30	vyřizovat
31	přednostně
32	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	V	ADP	4	case
3	současné	ADJ	4	amod
4	době	NOUN	5	obl
5	máme	VERB	0	root
6	zaregistrováno	ADJ	8	xcomp
7	už	ADV	5	advmod
8	4000	NUM	9	nummod:gov
9	zájemců	NOUN	5	obj
10	,	PUNCT	5	punct
11	"	PUNCT	5	punct
12	řekl	VERB	5	conj
13	včera	ADV	12	advmod
14	vedoucí	NOUN	12	nsubj
15	prodejny	NOUN	14	nmod
16	Miloš	PROPN	14	flat
17	Kopecký	PROPN	14	flat
18	,	PUNCT	20	punct
19	"	PUNCT	20	punct
20	je	VERB	5	conj
21	mezi	ADP	22	case
22	nimi	PRON	20	obl
23	řada	NOUN	20	nsubj
24	invalidních	ADJ	25	amod
25	občanů	NOUN	23	nmod
26	,	PUNCT	29	punct
27	jejich	DET	28	det
28	objednávky	NOUN	30	obj
29	chceme	VERB	20	conj
30	vyřizovat	VERB	29	xcomp
31	přednostně	ADV	30	advmod
32	.	PUNCT	5	punct