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:
Následovala další téměř desetiletá přestávka, přestože už od roku 1980 udržuje stuttgartská automobilka kancelář v Pekingu a v roce 1986 byla založena společnost Mercedes-Benz China Ltd.
Postion	Tokenization
1	Následovala
2	další
3	téměř
4	desetiletá
5	přestávka
6	,
7	přestože
8	už
9	od
10	roku
11	1980
12	udržuje
13	stuttgartská
14	automobilka
15	kancelář
16	v
17	Pekingu
18	a
19	v
20	roce
21	1986
22	byla
23	založena
24	společnost
25	Mercedes
26	-
27	Benz
28	China
29	Ltd
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Následovala	VERB	0	root
2	další	ADJ	5	amod
3	téměř	ADV	4	advmod:emph
4	desetiletá	ADJ	5	amod
5	přestávka	NOUN	1	nsubj
6	,	PUNCT	12	punct
7	přestože	SCONJ	12	mark
8	už	ADV	10	advmod:emph
9	od	ADP	10	case
10	roku	NOUN	12	obl
11	1980	NUM	10	nummod
12	udržuje	VERB	1	advcl
13	stuttgartská	ADJ	14	amod
14	automobilka	NOUN	12	nsubj
15	kancelář	NOUN	12	obj
16	v	ADP	17	case
17	Pekingu	PROPN	12	obl
18	a	CCONJ	23	cc
19	v	ADP	20	case
20	roce	NOUN	23	obl
21	1986	NUM	20	nummod
22	byla	AUX	23	aux:pass
23	založena	ADJ	1	conj
24	společnost	NOUN	23	nsubj:pass
25	Mercedes	PROPN	24	nmod
26	-	PUNCT	27	punct
27	Benz	PROPN	25	nmod
28	China	PROPN	25	nmod
29	Ltd	ADJ	25	amod
30	.	PUNCT	1	punct