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:
Starosta Eberhard Diepgen přiřkl svému městu přídomek Werkstatt der deutschen Einheit - tedy dílna nebo možná ještě lépe zkušebna německé jednoty.
Postion	Tokenization
1	Starosta
2	Eberhard
3	Diepgen
4	přiřkl
5	svému
6	městu
7	přídomek
8	Werkstatt
9	der
10	deutschen
11	Einheit
12	-
13	tedy
14	dílna
15	nebo
16	možná
17	ještě
18	lépe
19	zkušebna
20	německé
21	jednoty
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Starosta	NOUN	4	nsubj
2	Eberhard	PROPN	1	flat
3	Diepgen	PROPN	1	flat
4	přiřkl	VERB	0	root
5	svému	DET	6	det
6	městu	NOUN	4	obl:arg
7	přídomek	NOUN	4	obj
8	Werkstatt	NOUN	7	nmod
9	der	ADJ	8	flat:foreign
10	deutschen	ADJ	8	flat:foreign
11	Einheit	NOUN	8	flat:foreign
12	-	PUNCT	14	punct
13	tedy	ADV	14	cc
14	dílna	NOUN	8	appos
15	nebo	CCONJ	19	cc
16	možná	ADV	19	dep
17	ještě	ADV	18	advmod
18	lépe	ADV	19	dep
19	zkušebna	NOUN	14	conj
20	německé	ADJ	21	amod
21	jednoty	NOUN	14	nmod
22	.	PUNCT	4	punct