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:
Hongkongský disident Lao Šan-čching, který byl uvězněn před deseti lety v jižní Číně za protirevoluční činnost, byl propuštěn a vrátil se do Hongkongu.
Postion	Tokenization
1	Hongkongský
2	disident
3	Lao
4	Šan
5	-
6	čching
7	,
8	který
9	byl
10	uvězněn
11	před
12	deseti
13	lety
14	v
15	jižní
16	Číně
17	za
18	protirevoluční
19	činnost
20	,
21	byl
22	propuštěn
23	a
24	vrátil
25	se
26	do
27	Hongkongu
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Hongkongský	ADJ	2	amod
2	disident	NOUN	22	nsubj:pass
3	Lao	PROPN	2	flat
4	Šan	PROPN	2	flat
5	-	PUNCT	6	punct
6	čching	PROPN	4	flat
7	,	PUNCT	10	punct
8	který	DET	10	nsubj:pass
9	byl	AUX	10	aux:pass
10	uvězněn	ADJ	2	amod
11	před	ADP	13	case
12	deseti	NUM	13	nummod
13	lety	NOUN	10	obl
14	v	ADP	16	case
15	jižní	ADJ	16	amod
16	Číně	PROPN	10	obl
17	za	ADP	19	case
18	protirevoluční	ADJ	19	amod
19	činnost	NOUN	10	obl
20	,	PUNCT	10	punct
21	byl	AUX	22	aux:pass
22	propuštěn	ADJ	0	root
23	a	CCONJ	24	cc
24	vrátil	VERB	22	conj
25	se	PRON	24	expl:pv
26	do	ADP	27	case
27	Hongkongu	PROPN	24	obl
28	.	PUNCT	22	punct