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:
Jisto je, že v české poezii pokračuje v linii Josefa Palivce, tedy v poezii nazývané absolutní, rozumějme: sebestředné svým zrcadlovým přivrácením k sobě.
Postion	Tokenization
1	Jisto
2	je
3	,
4	že
5	v
6	české
7	poezii
8	pokračuje
9	v
10	linii
11	Josefa
12	Palivce
13	,
14	tedy
15	v
16	poezii
17	nazývané
18	absolutní
19	,
20	rozumějme
21	:
22	sebestředné
23	svým
24	zrcadlovým
25	přivrácením
26	k
27	sobě
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Jisto	ADJ	0	root
2	je	AUX	1	cop
3	,	PUNCT	8	punct
4	že	SCONJ	8	mark
5	v	ADP	7	case
6	české	ADJ	7	amod
7	poezii	NOUN	8	obl:arg
8	pokračuje	VERB	1	csubj
9	v	ADP	10	case
10	linii	NOUN	8	obl:arg
11	Josefa	PROPN	10	nmod
12	Palivce	PROPN	11	flat
13	,	PUNCT	16	punct
14	tedy	ADV	16	cc
15	v	ADP	16	case
16	poezii	NOUN	10	appos
17	nazývané	ADJ	16	amod
18	absolutní	ADJ	17	obl:arg
19	,	PUNCT	20	punct
20	rozumějme	VERB	18	parataxis
21	:	PUNCT	22	punct
22	sebestředné	ADJ	20	obl:arg
23	svým	DET	25	det
24	zrcadlovým	ADJ	25	amod
25	přivrácením	NOUN	22	obl
26	k	ADP	27	case
27	sobě	PRON	25	nmod
28	.	PUNCT	1	punct