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 německý ilustrovaný časopis citoval minulý týden výroky dvou známých osobností, německého herce Maxmiliana Schella a irského literáta George Bernarda Shawa:
Postion	Tokenization
1	Jeden
2	německý
3	ilustrovaný
4	časopis
5	citoval
6	minulý
7	týden
8	výroky
9	dvou
10	známých
11	osobností
12	,
13	německého
14	herce
15	Maxmiliana
16	Schella
17	a
18	irského
19	literáta
20	George
21	Bernarda
22	Shawa
23	:
Position	Tokenization	UPOS	Head	Deprel
1	Jeden	NUM	4	nummod
2	německý	ADJ	4	amod
3	ilustrovaný	ADJ	4	amod
4	časopis	NOUN	5	nsubj
5	citoval	VERB	0	root
6	minulý	ADJ	7	amod
7	týden	NOUN	5	obl
8	výroky	NOUN	5	obj
9	dvou	NUM	11	nummod
10	známých	ADJ	11	amod
11	osobností	NOUN	8	nmod
12	,	PUNCT	14	punct
13	německého	ADJ	14	amod
14	herce	NOUN	11	appos
15	Maxmiliana	PROPN	14	flat
16	Schella	PROPN	14	flat
17	a	CCONJ	19	cc
18	irského	ADJ	19	amod
19	literáta	NOUN	14	conj
20	George	PROPN	19	flat
21	Bernarda	PROPN	19	flat
22	Shawa	PROPN	19	flat
23	:	PUNCT	5	punct