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: Čína sází na výrobu automobilů: v této klasické zemi jízdních kol byla podle posledního vydání listu Business Weekly vedoucí domácí automobilce poskytnuta vládní dotace 250 milionů USD, zatímco výrobci jízdních kol hlásí za první pololetí podstatný pokles odbytu, uvedla agentura DPA.
Position	Tokenization	UPOS	Head	Deprel
1	Čína	PROPN	2	nsubj
2	sází	VERB	0	root
3	na	ADP	4	case
4	výrobu	NOUN	2	obl:arg
5	automobilů	NOUN	4	nmod
6	:	PUNCT	42	punct
7	v	ADP	10	case
8	této	DET	10	det
9	klasické	ADJ	10	amod
10	zemi	NOUN	23	obl
11	jízdních	ADJ	12	amod
12	kol	NOUN	10	nmod
13	byla	AUX	23	aux:pass
14	podle	ADP	16	case
15	posledního	ADJ	16	amod
16	vydání	NOUN	23	obl
17	listu	NOUN	16	nmod
18	Business	PROPN	17	nmod
19	Weekly	ADV	18	flat:foreign
20	vedoucí	ADJ	22	amod
21	domácí	ADJ	22	amod
22	automobilce	NOUN	23	obl:arg
23	poskytnuta	ADJ	42	obj
24	vládní	ADJ	25	amod
25	dotace	NOUN	23	nsubj:pass
26	250	NUM	27	nummod:gov
27	milionů	NOUN	25	nmod
28	USD	NOUN	27	nmod
29	,	PUNCT	34	punct
30	zatímco	SCONJ	34	mark
31	výrobci	NOUN	34	nsubj
32	jízdních	ADJ	33	amod
33	kol	NOUN	31	nmod
34	hlásí	VERB	23	advcl
35	za	ADP	37	case
36	první	ADJ	37	amod
37	pololetí	NOUN	34	obl
38	podstatný	ADJ	39	amod
39	pokles	NOUN	34	obj
40	odbytu	NOUN	39	nmod
41	,	PUNCT	23	punct
42	uvedla	VERB	2	appos
43	agentura	NOUN	42	nsubj
44	DPA	PROPN	43	nmod
45	.	PUNCT	2	punct