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:
Původní údaje byly revidovány zejména s ohledem na vyšší dovoz bývalého Sovětského svazu, který by měl dovézt celkem 9.3 milionu tun pšenice proti původnímu odhadu 8.5 milionu tun.
Postion	Tokenization
1	Původní
2	údaje
3	byly
4	revidovány
5	zejména
6	s
7	ohledem
8	na
9	vyšší
10	dovoz
11	bývalého
12	Sovětského
13	svazu
14	,
15	který
16	by
17	měl
18	dovézt
19	celkem
20	9.3
21	milionu
22	tun
23	pšenice
24	proti
25	původnímu
26	odhadu
27	8.5
28	milionu
29	tun
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Původní	ADJ	2	amod
2	údaje	NOUN	4	nsubj:pass
3	byly	AUX	4	aux:pass
4	revidovány	ADJ	0	root
5	zejména	ADV	10	advmod:emph
6	s	ADP	10	case
7	ohledem	NOUN	6	fixed
8	na	ADP	6	fixed
9	vyšší	ADJ	10	amod
10	dovoz	NOUN	4	obl
11	bývalého	ADJ	13	amod
12	Sovětského	ADJ	13	amod
13	svazu	NOUN	10	nmod
14	,	PUNCT	17	punct
15	který	DET	17	nsubj
16	by	AUX	17	aux
17	měl	VERB	13	acl:relcl
18	dovézt	VERB	17	xcomp
19	celkem	ADV	20	advmod:emph
20	9.3	NUM	21	nummod:gov
21	milionu	NOUN	18	obj
22	tun	NOUN	21	nmod
23	pšenice	NOUN	22	nmod
24	proti	ADP	26	case
25	původnímu	ADJ	26	amod
26	odhadu	NOUN	18	obl
27	8.5	NUM	28	nummod:gov
28	milionu	NOUN	26	nmod
29	tun	NOUN	28	nmod
30	.	PUNCT	4	punct