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:
Přemýšliví lidé (a to bez rozdílu, zda jde o manuálně pracujícího člověka, podnikatele nebo intelektuála) vždy, na rozdíl od těch méně přemýšlivých nebo lhostejných, poukazovali na chyby a nepravosti.
Postion	Tokenization
1	Přemýšliví
2	lidé
3	(
4	a
5	to
6	bez
7	rozdílu
8	,
9	zda
10	jde
11	o
12	manuálně
13	pracujícího
14	člověka
15	,
16	podnikatele
17	nebo
18	intelektuála
19	)
20	vždy
21	,
22	na
23	rozdíl
24	od
25	těch
26	méně
27	přemýšlivých
28	nebo
29	lhostejných
30	,
31	poukazovali
32	na
33	chyby
34	a
35	nepravosti
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Přemýšliví	ADJ	2	amod
2	lidé	NOUN	31	nsubj
3	(	PUNCT	7	punct
4	a	CCONJ	7	cc
5	to	PART	4	fixed
6	bez	ADP	7	case
7	rozdílu	NOUN	2	nmod
8	,	PUNCT	10	punct
9	zda	SCONJ	10	mark
10	jde	VERB	7	acl
11	o	ADP	14	case
12	manuálně	ADV	13	advmod
13	pracujícího	ADJ	14	amod
14	člověka	NOUN	10	obl:arg
15	,	PUNCT	16	punct
16	podnikatele	NOUN	14	conj
17	nebo	CCONJ	18	cc
18	intelektuála	NOUN	14	conj
19	)	PUNCT	7	punct
20	vždy	ADV	31	advmod
21	,	PUNCT	25	punct
22	na	ADP	25	case
23	rozdíl	NOUN	22	fixed
24	od	ADP	22	fixed
25	těch	DET	31	obl
26	méně	ADV	27	advmod
27	přemýšlivých	ADJ	25	amod
28	nebo	CCONJ	29	cc
29	lhostejných	ADJ	27	conj
30	,	PUNCT	25	punct
31	poukazovali	VERB	0	root
32	na	ADP	33	case
33	chyby	NOUN	31	obl:arg
34	a	CCONJ	35	cc
35	nepravosti	NOUN	33	conj
36	.	PUNCT	31	punct