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:
Častým poznatkem je, že zákazníci si pořizují počítač z určitého důvodu a neuvědomují si, že jej mohou používat i k dalším činnostem, na které zpočátku vůbec nepomysleli.
Postion	Tokenization
1	Častým
2	poznatkem
3	je
4	,
5	že
6	zákazníci
7	si
8	pořizují
9	počítač
10	z
11	určitého
12	důvodu
13	a
14	neuvědomují
15	si
16	,
17	že
18	jej
19	mohou
20	používat
21	i
22	k
23	dalším
24	činnostem
25	,
26	na
27	které
28	zpočátku
29	vůbec
30	nepomysleli
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Častým	ADJ	2	amod
2	poznatkem	NOUN	0	root
3	je	AUX	2	cop
4	,	PUNCT	8	punct
5	že	SCONJ	8	mark
6	zákazníci	NOUN	8	nsubj
7	si	PRON	8	obl
8	pořizují	VERB	2	csubj
9	počítač	NOUN	8	obj
10	z	ADP	12	case
11	určitého	ADJ	12	amod
12	důvodu	NOUN	8	obl
13	a	CCONJ	14	cc
14	neuvědomují	VERB	8	conj
15	si	PRON	14	expl:pv
16	,	PUNCT	19	punct
17	že	SCONJ	19	mark
18	jej	PRON	20	obj
19	mohou	VERB	14	ccomp
20	používat	VERB	19	xcomp
21	i	CCONJ	24	advmod:emph
22	k	ADP	24	case
23	dalším	ADJ	24	amod
24	činnostem	NOUN	20	obl:arg
25	,	PUNCT	30	punct
26	na	ADP	27	case
27	které	DET	30	obl:arg
28	zpočátku	ADV	30	advmod
29	vůbec	ADV	30	advmod
30	nepomysleli	VERB	24	acl:relcl
31	.	PUNCT	2	punct