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:
Miloš Zeman si je podle vlastních slov vědom, že premiér Václav Klaus si vybírá partnery do svých televizních diskusí nejraději sám a pokud mu nevyhovují, raději odejde ze studia.
Postion	Tokenization
1	Miloš
2	Zeman
3	si
4	je
5	podle
6	vlastních
7	slov
8	vědom
9	,
10	že
11	premiér
12	Václav
13	Klaus
14	si
15	vybírá
16	partnery
17	do
18	svých
19	televizních
20	diskusí
21	nejraději
22	sám
23	a
24	pokud
25	mu
26	nevyhovují
27	,
28	raději
29	odejde
30	ze
31	studia
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Miloš	PROPN	8	nsubj
2	Zeman	PROPN	1	flat
3	si	PRON	8	expl:pv
4	je	AUX	8	cop
5	podle	ADP	7	case
6	vlastních	ADJ	7	amod
7	slov	NOUN	8	obl
8	vědom	ADJ	0	root
9	,	PUNCT	15	punct
10	že	SCONJ	15	mark
11	premiér	NOUN	15	nsubj
12	Václav	PROPN	11	flat
13	Klaus	PROPN	11	flat
14	si	PRON	15	obl
15	vybírá	VERB	8	ccomp
16	partnery	NOUN	15	obj
17	do	ADP	20	case
18	svých	DET	20	det
19	televizních	ADJ	20	amod
20	diskusí	NOUN	16	nmod
21	nejraději	ADV	15	advmod
22	sám	DET	11	xcomp
23	a	CCONJ	29	cc
24	pokud	SCONJ	26	mark
25	mu	PRON	26	obl:arg
26	nevyhovují	VERB	29	advcl
27	,	PUNCT	26	punct
28	raději	ADV	29	advmod
29	odejde	VERB	15	conj
30	ze	ADP	31	case
31	studia	NOUN	29	obl
32	.	PUNCT	8	punct