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: Za nedostatečný označil po včerejším setkání s premiérem Václavem Klausem objem vzájemného čínsko- českého obchodu stálý místopředseda Čínského lidového politického poradního shromáždění Jie Süan- pching, který je v těchto dnech na návštěvě ČR.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	2	case
2	nedostatečný	ADJ	3	obl:arg
3	označil	VERB	0	root
4	po	ADP	6	case
5	včerejším	ADJ	6	amod
6	setkání	NOUN	3	obl
7	s	ADP	8	case
8	premiérem	NOUN	6	nmod
9	Václavem	PROPN	8	flat
10	Klausem	PROPN	8	flat
11	objem	NOUN	3	obj
12	vzájemného	ADJ	16	amod
13	čínsko	ADJ	16	amod
14	-	PUNCT	15	punct
15	českého	ADJ	13	conj
16	obchodu	NOUN	11	nmod
17	stálý	ADJ	18	amod
18	místopředseda	NOUN	3	nsubj
19	Čínského	ADJ	23	amod
20	lidového	ADJ	23	amod
21	politického	ADJ	23	amod
22	poradního	ADJ	23	amod
23	shromáždění	NOUN	18	nmod
24	Jie	PROPN	18	flat
25	Süan	PROPN	18	flat
26	-	PUNCT	25	punct
27	pching	PROPN	18	flat
28	,	PUNCT	30	punct
29	který	DET	30	nsubj
30	je	VERB	18	acl:relcl
31	v	ADP	33	case
32	těchto	DET	33	det
33	dnech	NOUN	30	obl
34	na	ADP	35	case
35	návštěvě	NOUN	30	obl
36	ČR	PROPN	35	nmod
37	.	PUNCT	3	punct