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:
Profesor Neoral je velmi pracovně zaneprázdněn, ale pokud se dohodneme, konalo by se líčení i 30. září, poznamenala A. Hudcová.
Postion	Tokenization
1	Profesor
2	Neoral
3	je
4	velmi
5	pracovně
6	zaneprázdněn
7	,
8	ale
9	pokud
10	se
11	dohodneme
12	,
13	konalo
14	by
15	se
16	líčení
17	i
18	30
19	.
20	září
21	,
22	poznamenala
23	A
24	.
25	Hudcová
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Profesor	NOUN	6	nsubj
2	Neoral	PROPN	1	flat
3	je	AUX	6	cop
4	velmi	ADV	6	advmod
5	pracovně	ADV	6	advmod
6	zaneprázdněn	ADJ	22	ccomp
7	,	PUNCT	13	punct
8	ale	CCONJ	13	cc
9	pokud	SCONJ	11	mark
10	se	PRON	11	expl:pv
11	dohodneme	VERB	13	advcl
12	,	PUNCT	11	punct
13	konalo	VERB	6	conj
14	by	AUX	13	aux
15	se	PRON	13	expl:pv
16	líčení	NOUN	13	nsubj
17	i	CCONJ	20	advmod:emph
18	30	NUM	20	nummod
19	.	PUNCT	18	punct
20	září	NOUN	13	obl
21	,	PUNCT	6	punct
22	poznamenala	VERB	0	root
23	A	PROPN	22	nsubj
24	.	PUNCT	23	punct
25	Hudcová	PROPN	23	flat
26	.	PUNCT	22	punct