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:
Tedy se zeměmi, které mají naopak pracovních sil dostatek, vyspělý průmysl a s výjimkou Hongkongu nedostatkem prostoru netrpí.
Postion	Tokenization
1	Tedy
2	se
3	zeměmi
4	,
5	které
6	mají
7	naopak
8	pracovních
9	sil
10	dostatek
11	,
12	vyspělý
13	průmysl
14	a
15	s
16	výjimkou
17	Hongkongu
18	nedostatkem
19	prostoru
20	netrpí
21	.
Position	Tokenization	UPOS	Head	Deprel
1	Tedy	ADV	3	cc
2	se	ADP	3	case
3	zeměmi	NOUN	0	root
4	,	PUNCT	6	punct
5	které	DET	6	nsubj
6	mají	VERB	3	acl:relcl
7	naopak	ADV	6	advmod
8	pracovních	ADJ	9	amod
9	sil	NOUN	10	nmod
10	dostatek	NOUN	6	obj
11	,	PUNCT	13	punct
12	vyspělý	ADJ	13	amod
13	průmysl	NOUN	10	conj
14	a	CCONJ	20	cc
15	s	ADP	17	case
16	výjimkou	NOUN	15	fixed
17	Hongkongu	PROPN	20	obl
18	nedostatkem	NOUN	20	obl:arg
19	prostoru	NOUN	18	nmod
20	netrpí	VERB	6	conj
21	.	PUNCT	3	punct