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:
Prezident je ochotný Mitra odvolat až poté, co mu vláda doručí návrh nového kandidáta, kterým by se podle neoficiálních informací měl stát Ivan Lexa.
Postion	Tokenization
1	Prezident
2	je
3	ochotný
4	Mitra
5	odvolat
6	až
7	poté
8	,
9	co
10	mu
11	vláda
12	doručí
13	návrh
14	nového
15	kandidáta
16	,
17	kterým
18	by
19	se
20	podle
21	neoficiálních
22	informací
23	měl
24	stát
25	Ivan
26	Lexa
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Prezident	NOUN	3	nsubj
2	je	AUX	3	cop
3	ochotný	ADJ	0	root
4	Mitra	PROPN	5	obj
5	odvolat	VERB	3	xcomp
6	až	PART	7	advmod:emph
7	poté	ADV	5	advmod
8	,	PUNCT	12	punct
9	co	SCONJ	12	mark
10	mu	PRON	12	obl:arg
11	vláda	NOUN	12	nsubj
12	doručí	VERB	5	advcl
13	návrh	NOUN	12	obj
14	nového	ADJ	15	amod
15	kandidáta	NOUN	13	nmod
16	,	PUNCT	23	punct
17	kterým	DET	24	obl:arg
18	by	AUX	23	aux
19	se	PRON	24	expl:pv
20	podle	ADP	22	case
21	neoficiálních	ADJ	22	amod
22	informací	NOUN	23	obl
23	měl	VERB	15	acl:relcl
24	stát	VERB	23	xcomp
25	Ivan	PROPN	23	nsubj
26	Lexa	PROPN	25	flat
27	.	PUNCT	3	punct