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:
Rozhodne se o nich mezi zhruba dvěma tisíci našimi čtenáři, kteří nám zaslali svůj odhad, kolik procent diků vloží své body v druhém kole privatizace prostřednictvím privatizačních fondů.
Postion	Tokenization
1	Rozhodne
2	se
3	o
4	nich
5	mezi
6	zhruba
7	dvěma
8	tisíci
9	našimi
10	čtenáři
11	,
12	kteří
13	nám
14	zaslali
15	svůj
16	odhad
17	,
18	kolik
19	procent
20	diků
21	vloží
22	své
23	body
24	v
25	druhém
26	kole
27	privatizace
28	prostřednictvím
29	privatizačních
30	fondů
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Rozhodne	VERB	0	root
2	se	PRON	1	expl:pass
3	o	ADP	4	case
4	nich	PRON	1	obl:arg
5	mezi	ADP	8	case
6	zhruba	ADV	8	advmod:emph
7	dvěma	NUM	8	nummod
8	tisíci	NOUN	1	obl
9	našimi	DET	10	det
10	čtenáři	NOUN	8	nmod
11	,	PUNCT	14	punct
12	kteří	DET	14	nsubj
13	nám	PRON	14	obl:arg
14	zaslali	VERB	10	acl:relcl
15	svůj	DET	16	det
16	odhad	NOUN	14	obj
17	,	PUNCT	21	punct
18	kolik	DET	19	det:numgov
19	procent	NOUN	21	nsubj
20	diků	NOUN	19	nmod
21	vloží	VERB	16	acl
22	své	DET	23	det
23	body	NOUN	21	obj
24	v	ADP	26	case
25	druhém	ADJ	26	amod
26	kole	NOUN	21	obl
27	privatizace	NOUN	26	nmod
28	prostřednictvím	NOUN	30	case
29	privatizačních	ADJ	30	amod
30	fondů	NOUN	21	obl
31	.	PUNCT	1	punct