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:
Tato čísla měl zřejmě na mysli stálý místopředseda Čínského lidového politického poradního shromáždění Jie Süan- pching, když si při svém setkání s premiérem Václavem Klausem stěžoval na nízký objem obchodu mezi oběma zeměmi.
Postion	Tokenization
1	Tato
2	čísla
3	měl
4	zřejmě
5	na
6	mysli
7	stálý
8	místopředseda
9	Čínského
10	lidového
11	politického
12	poradního
13	shromáždění
14	Jie
15	Süan
16	-
17	pching
18	,
19	když
20	si
21	při
22	svém
23	setkání
24	s
25	premiérem
26	Václavem
27	Klausem
28	stěžoval
29	na
30	nízký
31	objem
32	obchodu
33	mezi
34	oběma
35	zeměmi
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Tato	DET	2	det
2	čísla	NOUN	3	obj
3	měl	VERB	0	root
4	zřejmě	ADV	3	advmod
5	na	ADP	6	case
6	mysli	NOUN	3	obl:arg
7	stálý	ADJ	8	amod
8	místopředseda	NOUN	3	nsubj
9	Čínského	ADJ	13	amod
10	lidového	ADJ	13	amod
11	politického	ADJ	13	amod
12	poradního	ADJ	13	amod
13	shromáždění	NOUN	8	nmod
14	Jie	PROPN	8	flat
15	Süan	PROPN	8	flat
16	-	PUNCT	15	punct
17	pching	PROPN	8	flat
18	,	PUNCT	28	punct
19	když	SCONJ	28	mark
20	si	PRON	28	expl:pv
21	při	ADP	23	case
22	svém	DET	23	det
23	setkání	NOUN	28	obl
24	s	ADP	25	case
25	premiérem	NOUN	23	nmod
26	Václavem	PROPN	25	flat
27	Klausem	PROPN	25	flat
28	stěžoval	VERB	3	advcl
29	na	ADP	31	case
30	nízký	ADJ	31	amod
31	objem	NOUN	28	obl:arg
32	obchodu	NOUN	31	nmod
33	mezi	ADP	35	case
34	oběma	NUM	35	nummod
35	zeměmi	NOUN	32	nmod
36	.	PUNCT	3	punct