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:
Součástí malé privatizace měla být i privatizace státních bytů, což by kromě zkvalitnění bydlení zmírnilo problémy s liberalizací cen nájmu, zvýšilo mobilitu pracovníků, zlepšilo vztah veřejnosti k soukromému majetku a posílilo možnosti získat úvěry pomocí hypotéky.
Postion	Tokenization
1	Součástí
2	malé
3	privatizace
4	měla
5	být
6	i
7	privatizace
8	státních
9	bytů
10	,
11	což
12	by
13	kromě
14	zkvalitnění
15	bydlení
16	zmírnilo
17	problémy
18	s
19	liberalizací
20	cen
21	nájmu
22	,
23	zvýšilo
24	mobilitu
25	pracovníků
26	,
27	zlepšilo
28	vztah
29	veřejnosti
30	k
31	soukromému
32	majetku
33	a
34	posílilo
35	možnosti
36	získat
37	úvěry
38	pomocí
39	hypotéky
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Součástí	NOUN	4	xcomp
2	malé	ADJ	3	amod
3	privatizace	NOUN	1	nmod
4	měla	VERB	0	root
5	být	AUX	1	cop
6	i	CCONJ	7	advmod:emph
7	privatizace	NOUN	4	nsubj
8	státních	ADJ	9	amod
9	bytů	NOUN	7	nmod
10	,	PUNCT	4	punct
11	což	PRON	16	nsubj
12	by	AUX	16	aux
13	kromě	ADP	14	case
14	zkvalitnění	NOUN	16	obl
15	bydlení	NOUN	14	nmod
16	zmírnilo	VERB	4	parataxis
17	problémy	NOUN	16	obj
18	s	ADP	19	case
19	liberalizací	NOUN	17	nmod
20	cen	NOUN	19	nmod
21	nájmu	NOUN	20	nmod
22	,	PUNCT	23	punct
23	zvýšilo	VERB	16	conj
24	mobilitu	NOUN	23	obj
25	pracovníků	NOUN	24	nmod
26	,	PUNCT	27	punct
27	zlepšilo	VERB	16	conj
28	vztah	NOUN	27	obj
29	veřejnosti	NOUN	28	nmod
30	k	ADP	32	case
31	soukromému	ADJ	32	amod
32	majetku	NOUN	28	nmod
33	a	CCONJ	34	cc
34	posílilo	VERB	16	conj
35	možnosti	NOUN	34	obj
36	získat	VERB	35	acl
37	úvěry	NOUN	36	obj
38	pomocí	NOUN	39	case
39	hypotéky	NOUN	36	obl
40	.	PUNCT	4	punct