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 text: Škoda, že jsme museli na tento román čekat tak dlouho, ale v sedmdesátých letech bylo ono vtipné dílko nepublikovatelné: lidová armáda by tenkrát určitě po vzoru našich lidových hasičů vznesla protest proti zesměšňování anebo by chtěla také.
Position	Tokenization	UPOS	Head	Deprel
1	Škoda	NOUN	0	root
2	_	_	None	_
3	,	PUNCT	5	punct
4	že	SCONJ	5	mark
5	jsme	AUX	5	aux
6	museli	VERB	1	conj
7	na	ADP	8	case
8	tento	DET	8	det
9	román	NOUN	9	obl:arg
10	čekat	VERB	5	xcomp
11	tak	ADV	11	advmod
12	dlouho	ADV	9	advmod
13	,	PUNCT	5	punct
14	ale	CCONJ	5	cc
15	v	ADP	16	case
16	sedmdesátých	ADJ	16	amod
17	letech	NOUN	21	obl
18	bylo	AUX	21	cop
19	ono	DET	20	det
20	vtipné	ADJ	20	amod
21	dílko	NOUN	21	nsubj
22	nepublikovatelné	ADJ	5	orphan
23	:	PUNCT	33	punct
24	lidová	ADJ	24	amod
25	armáda	NOUN	33	nsubj
26	by	AUX	33	aux
27	tenkrát	ADV	33	advmod
28	určitě	ADV	33	advmod
29	po	ADP	29	case
30	vzoru	NOUN	33	obl
31	našich	DET	32	det
32	lidových	ADJ	32	amod
33	hasičů	NOUN	29	nmod
34	vznesla	VERB	1	conj
35	protest	NOUN	33	obj
36	proti	ADP	36	case
37	zesměšňování	NOUN	34	nmod
38	anebo	CCONJ	39	cc
39	by	AUX	39	aux
40	chtěla	VERB	33	conj
41	také	ADV	39	advmod
42	.	PUNCT	1	punct