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:
Například rozeslání tisícovky akvizičních dopisů, na něž odpoví tři čtyři desítky potenciálních zákazníků , sice samo o sobě obchod nepřinese, ale přivede několik zákazníků, kteří ho uzavřou.
Postion	Tokenization
1	Například
2	rozeslání
3	tisícovky
4	akvizičních
5	dopisů
6	,
7	na
8	něž
9	odpoví
10	tři
11	čtyři
12	desítky
13	potenciálních
14	zákazníků
15	,
16	sice
17	samo
18	o
19	sobě
20	obchod
21	nepřinese
22	,
23	ale
24	přivede
25	několik
26	zákazníků
27	,
28	kteří
29	ho
30	uzavřou
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Například	ADV	2	cc
2	rozeslání	NOUN	21	nsubj
3	tisícovky	NOUN	2	nmod
4	akvizičních	ADJ	5	amod
5	dopisů	NOUN	3	nmod
6	,	PUNCT	9	punct
7	na	ADP	8	case
8	něž	PRON	9	obl:arg
9	odpoví	VERB	5	acl:relcl
10	tři	NUM	12	nummod
11	čtyři	NUM	12	nummod
12	desítky	NOUN	9	nsubj
13	potenciálních	ADJ	14	amod
14	zákazníků	NOUN	12	nmod
15	,	PUNCT	9	punct
16	sice	ADV	21	cc
17	samo	ADV	2	xcomp
18	o	ADP	19	case
19	sobě	PRON	2	nmod
20	obchod	NOUN	21	obj
21	nepřinese	VERB	0	root
22	,	PUNCT	24	punct
23	ale	CCONJ	24	cc
24	přivede	VERB	21	conj
25	několik	DET	26	det:numgov
26	zákazníků	NOUN	24	obj
27	,	PUNCT	30	punct
28	kteří	DET	30	nsubj
29	ho	PRON	30	obj
30	uzavřou	VERB	26	acl:relcl
31	.	PUNCT	21	punct