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:
Nikdo než nejužší kruh zasvěcených tehdy nevěděl, že rozhovor s Michaelem Dukakisem pro Lidovky připravila Dukakisova předvolební poradkyně pro zahraniční politiku, profesorka politických věd Georgetownské univerzity ve Washingtonu, D.C., Madeleine Albrightová, narozená jako Marie Jana Korbelová v Praze.
Postion	Tokenization
1	Nikdo
2	než
3	nejužší
4	kruh
5	zasvěcených
6	tehdy
7	nevěděl
8	,
9	že
10	rozhovor
11	s
12	Michaelem
13	Dukakisem
14	pro
15	Lidovky
16	připravila
17	Dukakisova
18	předvolební
19	poradkyně
20	pro
21	zahraniční
22	politiku
23	,
24	profesorka
25	politických
26	věd
27	Georgetownské
28	univerzity
29	ve
30	Washingtonu
31	,
32	D
33	.
34	C
35	.
36	,
37	Madeleine
38	Albrightová
39	,
40	narozená
41	jako
42	Marie
43	Jana
44	Korbelová
45	v
46	Praze
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Nikdo	PRON	7	nsubj
2	než	SCONJ	4	mark
3	nejužší	ADJ	4	amod
4	kruh	NOUN	1	advcl
5	zasvěcených	ADJ	4	amod
6	tehdy	ADV	7	advmod
7	nevěděl	VERB	0	root
8	,	PUNCT	16	punct
9	že	SCONJ	16	mark
10	rozhovor	NOUN	16	obj
11	s	ADP	12	case
12	Michaelem	PROPN	10	nmod
13	Dukakisem	PROPN	12	flat
14	pro	ADP	15	case
15	Lidovky	PROPN	10	nmod
16	připravila	VERB	7	ccomp
17	Dukakisova	ADJ	19	amod
18	předvolební	ADJ	19	amod
19	poradkyně	NOUN	16	nsubj
20	pro	ADP	22	case
21	zahraniční	ADJ	22	amod
22	politiku	NOUN	19	nmod
23	,	PUNCT	24	punct
24	profesorka	NOUN	19	conj
25	politických	ADJ	26	amod
26	věd	NOUN	24	nmod
27	Georgetownské	ADJ	28	amod
28	univerzity	NOUN	24	nmod
29	ve	ADP	30	case
30	Washingtonu	PROPN	28	nmod
31	,	PUNCT	34	punct
32	D	ADJ	34	amod
33	.	PUNCT	32	punct
34	C	ADJ	30	amod
35	.	PUNCT	34	punct
36	,	PUNCT	37	punct
37	Madeleine	PROPN	19	appos
38	Albrightová	PROPN	37	flat
39	,	PUNCT	40	punct
40	narozená	ADJ	37	amod
41	jako	SCONJ	42	mark
42	Marie	PROPN	40	xcomp
43	Jana	PROPN	42	flat
44	Korbelová	PROPN	42	flat
45	v	ADP	46	case
46	Praze	PROPN	40	obl
47	.	PUNCT	7	punct