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 příštích třech letech sice ještě postupně dojde k další liberalizaci, tyto změny se však budou vesměs týkat kapitálových toků a běžný občan je bezprostředně nepocítí.
Postion	Tokenization
1	V
2	příštích
3	třech
4	letech
5	sice
6	ještě
7	postupně
8	dojde
9	k
10	další
11	liberalizaci
12	,
13	tyto
14	změny
15	se
16	však
17	budou
18	vesměs
19	týkat
20	kapitálových
21	toků
22	a
23	běžný
24	občan
25	je
26	bezprostředně
27	nepocítí
28	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	4	case
2	příštích	ADJ	4	amod
3	třech	NUM	4	nummod
4	letech	NOUN	8	obl
5	sice	ADV	8	cc
6	ještě	ADV	8	advmod
7	postupně	ADV	8	advmod
8	dojde	VERB	0	root
9	k	ADP	11	case
10	další	ADJ	11	amod
11	liberalizaci	NOUN	8	obl:arg
12	,	PUNCT	19	punct
13	tyto	DET	14	det
14	změny	NOUN	19	nsubj
15	se	PRON	19	expl:pv
16	však	CCONJ	19	cc
17	budou	AUX	19	aux
18	vesměs	ADV	19	advmod
19	týkat	VERB	8	conj
20	kapitálových	ADJ	21	amod
21	toků	NOUN	19	obl:arg
22	a	CCONJ	27	cc
23	běžný	ADJ	24	amod
24	občan	NOUN	27	nsubj
25	je	PRON	27	obj
26	bezprostředně	ADV	27	advmod
27	nepocítí	VERB	19	conj
28	.	PUNCT	8	punct