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: Mluvčí německé Strany demokratického socialismu (PDS) Hanno Harnisch (42) byl v pátek odsouzen berlínským zemským soudem k pokutě 4800 marek a odnětí řidičského průkazu za jízdu pod vlivem alkoholu v ukradeném trabantu.
Position	Tokenization	UPOS	Head	Deprel
1	Mluvčí	NOUN	17	nsubj:pass
2	německé	ADJ	3	amod
3	Strany	NOUN	1	nmod
4	demokratického	ADJ	5	amod
5	socialismu	NOUN	3	nmod
6	(	PUNCT	7	punct
7	PDS	PROPN	3	appos
8	)	PUNCT	7	punct
9	Hanno	PROPN	1	flat
10	Harnisch	PROPN	1	flat
11	(	PUNCT	1	punct
12	42	NUM	1	dep
13	)	PUNCT	1	punct
14	byl	AUX	17	aux:pass
15	v	ADP	16	case
16	pátek	NOUN	17	obl
17	odsouzen	ADJ	0	root
18	berlínským	ADJ	20	amod
19	zemským	ADJ	20	amod
20	soudem	NOUN	17	obl:arg
21	k	ADP	22	case
22	pokutě	NOUN	17	obl:arg
23	4800	NUM	24	nummod:gov
24	marek	NOUN	22	nmod
25	a	CCONJ	26	cc
26	odnětí	NOUN	22	conj
27	řidičského	ADJ	28	amod
28	průkazu	NOUN	26	nmod
29	za	ADP	30	case
30	jízdu	NOUN	17	obl
31	pod	ADP	33	case
32	vlivem	NOUN	31	fixed
33	alkoholu	NOUN	30	nmod
34	v	ADP	36	case
35	ukradeném	ADJ	36	amod
36	trabantu	PROPN	30	nmod
37	.	PUNCT	17	punct