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:
Do první vlny kuponové privatizace byl zařazen majetek v celkové hodnotě cca 6.5 miliardy Kč a do druhé vlny za necelé 3 miliardy, což představuje zhruba dvě procenta z celkové nabídky.
Postion	Tokenization
1	Do
2	první
3	vlny
4	kuponové
5	privatizace
6	byl
7	zařazen
8	majetek
9	v
10	celkové
11	hodnotě
12	cca
13	6.5
14	miliardy
15	Kč
16	_
17	a
18	do
19	druhé
20	vlny
21	za
22	necelé
23	3
24	miliardy
25	,
26	což
27	představuje
28	zhruba
29	dvě
30	procenta
31	z
32	celkové
33	nabídky
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Do	ADP	3	case
2	první	ADJ	3	amod
3	vlny	NOUN	7	obl
4	kuponové	ADJ	5	amod
5	privatizace	NOUN	3	nmod
6	byl	AUX	7	aux:pass
7	zařazen	ADJ	0	root
8	majetek	NOUN	7	nsubj:pass
9	v	ADP	11	case
10	celkové	ADJ	11	amod
11	hodnotě	NOUN	8	nmod
12	cca	ADV	13	advmod:emph
13	6.5	NUM	14	nummod:gov
14	miliardy	NOUN	11	nmod
15	Kč	NOUN	14	nmod
16	_	_	None	_
17	a	CCONJ	19	cc
18	do	ADP	19	case
19	druhé	ADJ	19	amod
20	vlny	NOUN	7	conj
21	za	ADP	23	case
22	necelé	ADJ	23	amod
23	3	NUM	23	nummod
24	miliardy	NOUN	19	orphan
25	,	PUNCT	26	punct
26	což	PRON	26	nsubj
27	představuje	VERB	7	conj
28	zhruba	ADV	29	advmod:emph
29	dvě	NUM	29	nummod
30	procenta	NOUN	26	obj
31	z	ADP	32	case
32	celkové	ADJ	32	amod
33	nabídky	NOUN	29	nmod
34	.	PUNCT	7	punct