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:
"Výrobci ekologických zařízení by měli znát všechny projekty programu Terra-Tec, nabízené zeměmi střední a východní Evropy pro Burzu východní Evropy v Polsku," řekl Látal.
Postion	Tokenization
1	"
2	Výrobci
3	ekologických
4	zařízení
5	by
6	měli
7	znát
8	všechny
9	projekty
10	programu
11	Terra
12	-
13	Tec
14	,
15	nabízené
16	zeměmi
17	střední
18	a
19	východní
20	Evropy
21	pro
22	Burzu
23	východní
24	Evropy
25	v
26	Polsku
27	,
28	"
29	řekl
30	Látal
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	6	punct
2	Výrobci	NOUN	6	nsubj
3	ekologických	ADJ	4	amod
4	zařízení	NOUN	2	nmod
5	by	AUX	6	aux
6	měli	VERB	29	ccomp
7	znát	VERB	6	xcomp
8	všechny	DET	9	det
9	projekty	NOUN	7	obj
10	programu	NOUN	9	nmod
11	Terra	PROPN	10	nmod
12	-	PUNCT	13	punct
13	Tec	PROPN	11	conj
14	,	PUNCT	15	punct
15	nabízené	ADJ	9	amod
16	zeměmi	NOUN	15	obl:arg
17	střední	ADJ	20	amod
18	a	CCONJ	19	cc
19	východní	ADJ	17	conj
20	Evropy	PROPN	16	nmod
21	pro	ADP	22	case
22	Burzu	NOUN	15	obl
23	východní	ADJ	24	amod
24	Evropy	PROPN	22	nmod
25	v	ADP	26	case
26	Polsku	PROPN	22	nmod
27	,	PUNCT	6	punct
28	"	PUNCT	6	punct
29	řekl	VERB	0	root
30	Látal	PROPN	29	nsubj
31	.	PUNCT	29	punct