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 text: Další, zejména v německy mluvících zemích tak oblíbené autorské čtení bude 9. března: současný německý spisovatel Hanns-Josef Ortheil přečte úryvky ze svého dosud neuveřejněného románu o společenských změnách v roce 1989 Prvotní látka slonů.
Position	Tokenization	UPOS	Head	Deprel
1	Další	ADJ	11	amod
2	,	PUNCT	9	punct
3	zejména	ADV	7	advmod:emph
4	v	ADP	7	case
5	německy	ADV	6	advmod
6	mluvících	ADJ	7	amod
7	zemích	NOUN	9	obl
8	tak	ADV	9	advmod
9	oblíbené	ADJ	11	amod
10	autorské	ADJ	11	amod
11	čtení	NOUN	12	nsubj
12	bude	VERB	0	root
13	9	NUM	15	nummod
14	.	PUNCT	13	punct
15	března	NOUN	12	obl
16	:	PUNCT	24	punct
17	současný	ADJ	19	amod
18	německý	ADJ	19	amod
19	spisovatel	NOUN	24	nsubj
20	Hanns	PROPN	19	flat
21	-	PUNCT	22	punct
22	Josef	PROPN	20	flat
23	Ortheil	PROPN	19	flat
24	přečte	VERB	12	conj
25	úryvky	NOUN	24	obj
26	ze	ADP	30	case
27	svého	DET	30	det
28	dosud	ADV	29	advmod
29	neuveřejněného	ADJ	30	amod
30	románu	NOUN	25	nmod
31	o	ADP	33	case
32	společenských	ADJ	33	amod
33	změnách	NOUN	30	nmod
34	v	ADP	35	case
35	roce	NOUN	33	nmod
36	1989	NUM	35	nummod
37	Prvotní	ADJ	38	amod
38	látka	NOUN	30	nmod
39	slonů	NOUN	38	nmod
40	.	PUNCT	12	punct