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:
Paradoxní možná je, že ti, kteří nemířili tak úzkostně k sobě a jen k sobě, zůstávají skrze své dílo mnohem pregnantnějšími individualitami s důraznějším dosahem.
Postion	Tokenization
1	Paradoxní
2	možná
3	je
4	,
5	že
6	ti
7	,
8	kteří
9	nemířili
10	tak
11	úzkostně
12	k
13	sobě
14	a
15	jen
16	k
17	sobě
18	,
19	zůstávají
20	skrze
21	své
22	dílo
23	mnohem
24	pregnantnějšími
25	individualitami
26	s
27	důraznějším
28	dosahem
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Paradoxní	ADJ	0	root
2	možná	ADV	1	advmod
3	je	AUX	1	cop
4	,	PUNCT	19	punct
5	že	SCONJ	19	mark
6	ti	DET	19	nsubj
7	,	PUNCT	9	punct
8	kteří	DET	9	nsubj
9	nemířili	VERB	6	acl:relcl
10	tak	ADV	11	advmod
11	úzkostně	ADV	9	advmod
12	k	ADP	13	case
13	sobě	PRON	9	obl
14	a	CCONJ	17	cc
15	jen	PART	17	advmod:emph
16	k	ADP	17	case
17	sobě	PRON	13	conj
18	,	PUNCT	9	punct
19	zůstávají	VERB	1	csubj
20	skrze	ADP	22	case
21	své	DET	22	det
22	dílo	NOUN	19	obl
23	mnohem	ADV	24	advmod
24	pregnantnějšími	ADJ	25	amod
25	individualitami	NOUN	19	obl:arg
26	s	ADP	28	case
27	důraznějším	ADJ	28	amod
28	dosahem	NOUN	25	nmod
29	.	PUNCT	1	punct