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:
Machala zároveň v Liblicích představil zajímavá díla poslední doby (práce Daniely Hodrové, Michala Viewegha, Jáchyma Topola, avšak i Martina Nezvala či Maxi Marysko).
Postion	Tokenization
1	Machala
2	zároveň
3	v
4	Liblicích
5	představil
6	zajímavá
7	díla
8	poslední
9	doby
10	(
11	práce
12	Daniely
13	Hodrové
14	,
15	Michala
16	Viewegha
17	,
18	Jáchyma
19	Topola
20	,
21	avšak
22	i
23	Martina
24	Nezvala
25	či
26	Maxi
27	Marysko
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Machala	PROPN	5	nsubj
2	zároveň	ADV	5	advmod
3	v	ADP	4	case
4	Liblicích	PROPN	5	obl
5	představil	VERB	0	root
6	zajímavá	ADJ	7	amod
7	díla	NOUN	5	obj
8	poslední	ADJ	9	amod
9	doby	NOUN	7	nmod
10	(	PUNCT	11	punct
11	práce	NOUN	7	appos
12	Daniely	PROPN	11	nmod
13	Hodrové	PROPN	12	flat
14	,	PUNCT	15	punct
15	Michala	PROPN	12	conj
16	Viewegha	PROPN	15	flat
17	,	PUNCT	18	punct
18	Jáchyma	PROPN	12	conj
19	Topola	PROPN	18	flat
20	,	PUNCT	23	punct
21	avšak	CCONJ	23	cc
22	i	CCONJ	23	advmod:emph
23	Martina	PROPN	12	conj
24	Nezvala	PROPN	23	flat
25	či	CCONJ	26	cc
26	Maxi	PROPN	23	conj
27	Marysko	PROPN	26	flat
28	)	PUNCT	11	punct
29	.	PUNCT	5	punct