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:
Jeden pražský vysokoškolský pedagog nehumanitního směru si v polovině osmdesátých let zvolil literární pseudonym Marek Hofman a pod tímto jménem vydal dvě prózy v samizdatové edici Petlice.
Postion	Tokenization
1	Jeden
2	pražský
3	vysokoškolský
4	pedagog
5	nehumanitního
6	směru
7	si
8	v
9	polovině
10	osmdesátých
11	let
12	zvolil
13	literární
14	pseudonym
15	Marek
16	Hofman
17	a
18	pod
19	tímto
20	jménem
21	vydal
22	dvě
23	prózy
24	v
25	samizdatové
26	edici
27	Petlice
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Jeden	NUM	4	nummod
2	pražský	ADJ	4	amod
3	vysokoškolský	ADJ	4	amod
4	pedagog	NOUN	12	nsubj
5	nehumanitního	ADJ	6	amod
6	směru	NOUN	4	nmod
7	si	PRON	12	obl
8	v	ADP	9	case
9	polovině	NOUN	12	obl
10	osmdesátých	ADJ	11	amod
11	let	NOUN	9	nmod
12	zvolil	VERB	0	root
13	literární	ADJ	14	amod
14	pseudonym	NOUN	12	obj
15	Marek	PROPN	14	nmod
16	Hofman	PROPN	15	flat
17	a	CCONJ	21	cc
18	pod	ADP	20	case
19	tímto	DET	20	det
20	jménem	NOUN	21	obl
21	vydal	VERB	12	conj
22	dvě	NUM	23	nummod
23	prózy	NOUN	21	obj
24	v	ADP	26	case
25	samizdatové	ADJ	26	amod
26	edici	NOUN	21	obl
27	Petlice	NOUN	26	nmod
28	.	PUNCT	12	punct