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:
Prokazuje v nich důvěrnou znalost světa i dnes stále vzácnější smysl pro skutečnost: "Každá kalhota mu připomněla, kde v ní kdy byl.
Postion	Tokenization
1	Prokazuje
2	v
3	nich
4	důvěrnou
5	znalost
6	světa
7	i
8	dnes
9	stále
10	vzácnější
11	smysl
12	pro
13	skutečnost
14	:
15	"
16	Každá
17	kalhota
18	mu
19	připomněla
20	,
21	kde
22	v
23	ní
24	kdy
25	byl
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Prokazuje	VERB	0	root
2	v	ADP	3	case
3	nich	PRON	1	obl
4	důvěrnou	ADJ	5	amod
5	znalost	NOUN	1	obj
6	světa	NOUN	5	nmod
7	i	CCONJ	11	cc
8	dnes	ADV	10	advmod
9	stále	ADV	10	advmod
10	vzácnější	ADJ	11	amod
11	smysl	NOUN	5	conj
12	pro	ADP	13	case
13	skutečnost	NOUN	11	nmod
14	:	PUNCT	19	punct
15	"	PUNCT	19	punct
16	Každá	DET	17	det
17	kalhota	NOUN	19	nsubj
18	mu	PRON	19	obl:arg
19	připomněla	VERB	1	conj
20	,	PUNCT	25	punct
21	kde	ADV	25	advmod
22	v	ADP	23	case
23	ní	PRON	25	obl
24	kdy	ADV	25	advmod
25	byl	VERB	19	ccomp
26	.	PUNCT	1	punct