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:
Staří tygři Hongkong, Singapur, Tchaj- wan a Korea ztratily přitažlivost pro západní nadnárodní firmy, takže přestavují svoji ekonomiku a přehrávají se do role investorů v méně rozvinutých zemích.
Postion	Tokenization
1	Staří
2	tygři
3	Hongkong
4	,
5	Singapur
6	,
7	Tchaj
8	-
9	wan
10	a
11	Korea
12	ztratily
13	přitažlivost
14	pro
15	západní
16	nadnárodní
17	firmy
18	,
19	takže
20	přestavují
21	svoji
22	ekonomiku
23	a
24	přehrávají
25	se
26	do
27	role
28	investorů
29	v
30	méně
31	rozvinutých
32	zemích
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Staří	ADJ	2	amod
2	tygři	NOUN	12	nsubj
3	Hongkong	PROPN	2	nmod
4	,	PUNCT	5	punct
5	Singapur	PROPN	3	conj
6	,	PUNCT	9	punct
7	Tchaj	ADJ	9	amod
8	-	PUNCT	7	punct
9	wan	PROPN	3	conj
10	a	CCONJ	11	cc
11	Korea	PROPN	3	conj
12	ztratily	VERB	0	root
13	přitažlivost	NOUN	12	obj
14	pro	ADP	17	case
15	západní	ADJ	17	amod
16	nadnárodní	ADJ	17	amod
17	firmy	NOUN	13	nmod
18	,	PUNCT	20	punct
19	takže	SCONJ	20	mark
20	přestavují	VERB	12	advcl
21	svoji	DET	22	det
22	ekonomiku	NOUN	20	obj
23	a	CCONJ	24	cc
24	přehrávají	VERB	20	conj
25	se	PRON	24	expl:pv
26	do	ADP	27	case
27	role	NOUN	24	obl
28	investorů	NOUN	27	nmod
29	v	ADP	32	case
30	méně	ADV	31	advmod
31	rozvinutých	ADJ	32	amod
32	zemích	NOUN	28	nmod
33	.	PUNCT	12	punct