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: Mercedes-Benz vyvezl jen v roce 1993 3700 osobních a 400 nákladních vozů do Číny a pro dobré zabezpečení servisu a dalších služeb vybudoval tři regionální střediska na jihu, východě a severu Číny.
Position	Tokenization	UPOS	Head	Deprel
1	Mercedes	PROPN	4	nsubj
2	-	PUNCT	3	punct
3	Benz	PROPN	1	nmod
4	vyvezl	VERB	0	root
5	jen	PART	7	advmod:emph
6	v	ADP	7	case
7	roce	NOUN	4	obl
8	1993	NUM	7	nummod
9	3700	NUM	4	obj
10	osobních	ADJ	9	amod
11	a	CCONJ	14	cc
12	400	NUM	14	nummod:gov
13	nákladních	ADJ	14	amod
14	vozů	NOUN	9	conj
15	do	ADP	16	case
16	Číny	PROPN	4	obl
17	a	CCONJ	25	cc
18	pro	ADP	20	case
19	dobré	ADJ	20	amod
20	zabezpečení	NOUN	25	obl
21	servisu	NOUN	20	nmod
22	a	CCONJ	24	cc
23	dalších	ADJ	24	amod
24	služeb	NOUN	21	conj
25	vybudoval	VERB	4	conj
26	tři	NUM	28	nummod
27	regionální	ADJ	28	amod
28	střediska	NOUN	25	obj
29	na	ADP	30	case
30	jihu	NOUN	28	nmod
31	,	PUNCT	32	punct
32	východě	NOUN	30	conj
33	a	CCONJ	34	cc
34	severu	NOUN	30	conj
35	Číny	PROPN	30	nmod
36	.	PUNCT	4	punct