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:
Trh Latinské Ameriky je podle V. Prokopa schopen absorbovat naši strojírenskou a spotřební produkci bez velkých problémů, tuto možnost však čeští výrobci nevyužívají dostatečně.
Postion	Tokenization
1	Trh
2	Latinské
3	Ameriky
4	je
5	podle
6	V
7	.
8	Prokopa
9	schopen
10	absorbovat
11	naši
12	strojírenskou
13	a
14	spotřební
15	produkci
16	bez
17	velkých
18	problémů
19	,
20	tuto
21	možnost
22	však
23	čeští
24	výrobci
25	nevyužívají
26	dostatečně
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Trh	NOUN	9	nsubj
2	Latinské	ADJ	3	amod
3	Ameriky	PROPN	1	nmod
4	je	AUX	9	cop
5	podle	ADP	6	case
6	V	PROPN	9	obl
7	.	PUNCT	6	punct
8	Prokopa	PROPN	6	flat
9	schopen	ADJ	0	root
10	absorbovat	VERB	9	xcomp
11	naši	DET	15	det
12	strojírenskou	ADJ	15	amod
13	a	CCONJ	14	cc
14	spotřební	ADJ	12	conj
15	produkci	NOUN	10	obj
16	bez	ADP	18	case
17	velkých	ADJ	18	amod
18	problémů	NOUN	10	obl
19	,	PUNCT	25	punct
20	tuto	DET	21	det
21	možnost	NOUN	25	obj
22	však	CCONJ	25	cc
23	čeští	ADJ	24	amod
24	výrobci	NOUN	25	nsubj
25	nevyužívají	VERB	9	conj
26	dostatečně	ADV	25	advmod
27	.	PUNCT	9	punct