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:
Bude s to plnit volební sliby, vykouzlit "hospodářský zázrak druhé republiky" - např. vytvořit milión nových pracovních míst, výrazně snížit daně i obrovský státní dluh...?
Postion	Tokenization
1	Bude
2	s
3	to
4	plnit
5	volební
6	sliby
7	,
8	vykouzlit
9	"
10	hospodářský
11	zázrak
12	druhé
13	republiky
14	"
15	-
16	např
17	.
18	vytvořit
19	milión
20	nových
21	pracovních
22	míst
23	,
24	výrazně
25	snížit
26	daně
27	i
28	obrovský
29	státní
30	dluh
31	.
32	.
33	.
34	?
Position	Tokenization	UPOS	Head	Deprel
1	Bude	VERB	0	root
2	s	PART	1	nmod
3	to	PART	2	advmod
4	plnit	VERB	3	acl
5	volební	ADJ	6	amod
6	sliby	NOUN	4	obj
7	,	PUNCT	8	punct
8	vykouzlit	VERB	4	conj
9	"	PUNCT	11	punct
10	hospodářský	ADJ	11	amod
11	zázrak	NOUN	8	obj
12	druhé	ADJ	13	amod
13	republiky	NOUN	11	nmod
14	"	PUNCT	11	punct
15	-	PUNCT	18	punct
16	např	ADV	18	cc
17	.	PUNCT	18	punct
18	vytvořit	VERB	8	appos
19	milión	NOUN	18	obj
20	nových	ADJ	22	amod
21	pracovních	ADJ	22	amod
22	míst	NOUN	19	nmod
23	,	PUNCT	25	punct
24	výrazně	ADV	25	advmod
25	snížit	VERB	18	conj
26	daně	NOUN	25	obj
27	i	CCONJ	30	cc
28	obrovský	ADJ	30	amod
29	státní	ADJ	30	amod
30	dluh	NOUN	26	conj
31	.	PUNCT	1	punct
32	.	PUNCT	1	punct
33	.	PUNCT	1	punct
34	?	PUNCT	1	punct