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: Co horšího, logické zdůvodnění snahy o takovou gramotnost je špatně pojmuto: široce rozšířená vědecká gramotnost není podstatná pro vytvoření inteligentního voličstva, pro zachování vědecké a inženýrské pracovní síly nebo pro přípravu na život ve stále techničtější společnosti.
Position	Tokenization	UPOS	Head	Deprel
1	Co	ADV	12	dep
2	horšího	ADJ	1	conj
3	,	PUNCT	2	punct
4	logické	ADJ	5	amod
5	zdůvodnění	NOUN	12	nsubj
6	snahy	NOUN	5	nmod
7	o	ADP	9	case
8	takovou	DET	9	det
9	gramotnost	NOUN	6	nmod
10	je	AUX	12	cop
11	špatně	ADV	12	advmod
12	pojmuto	ADJ	0	root
13	:	PUNCT	19	punct
14	široce	ADV	15	advmod
15	rozšířená	ADJ	17	amod
16	vědecká	ADJ	17	amod
17	gramotnost	NOUN	19	nsubj
18	není	AUX	19	cop
19	podstatná	ADJ	12	appos
20	pro	ADP	21	case
21	vytvoření	NOUN	19	obl
22	inteligentního	ADJ	23	amod
23	voličstva	NOUN	21	nmod
24	,	PUNCT	26	punct
25	pro	ADP	26	case
26	zachování	NOUN	21	conj
27	vědecké	ADJ	31	amod
28	a	CCONJ	29	cc
29	inženýrské	ADJ	27	conj
30	pracovní	ADJ	31	amod
31	síly	NOUN	26	nmod
32	nebo	CCONJ	34	cc
33	pro	ADP	34	case
34	přípravu	NOUN	21	conj
35	na	ADP	36	case
36	život	NOUN	34	nmod
37	ve	ADP	40	case
38	stále	ADV	39	advmod
39	techničtější	ADJ	40	amod
40	společnosti	NOUN	36	nmod
41	.	PUNCT	12	punct