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:
Na úvod své přednášky při přebírání Nobelovy ceny neopomněl J. Buchanan vzpomenout velkého švédského vědce K. Wicksella, jehož vědecké dílo - jak řekl - významně ovlivnilo jeho myšlení.
Postion	Tokenization
1	Na
2	úvod
3	své
4	přednášky
5	při
6	přebírání
7	Nobelovy
8	ceny
9	neopomněl
10	J
11	.
12	Buchanan
13	vzpomenout
14	velkého
15	švédského
16	vědce
17	K
18	.
19	Wicksella
20	,
21	jehož
22	vědecké
23	dílo
24	-
25	jak
26	řekl
27	-
28	významně
29	ovlivnilo
30	jeho
31	myšlení
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	2	case
2	úvod	NOUN	9	obl
3	své	DET	4	det
4	přednášky	NOUN	2	nmod
5	při	ADP	6	case
6	přebírání	NOUN	4	nmod
7	Nobelovy	ADJ	8	amod
8	ceny	NOUN	6	nmod
9	neopomněl	VERB	0	root
10	J	PROPN	9	nsubj
11	.	PUNCT	10	punct
12	Buchanan	PROPN	10	flat
13	vzpomenout	VERB	9	xcomp
14	velkého	ADJ	16	amod
15	švédského	ADJ	16	amod
16	vědce	NOUN	17	nmod
17	K	PROPN	13	obj
18	.	PUNCT	17	punct
19	Wicksella	PROPN	17	flat
20	,	PUNCT	29	punct
21	jehož	PRON	23	nmod
22	vědecké	ADJ	23	amod
23	dílo	NOUN	29	nsubj
24	-	PUNCT	26	punct
25	jak	SCONJ	26	mark
26	řekl	VERB	29	parataxis
27	-	PUNCT	26	punct
28	významně	ADV	29	advmod
29	ovlivnilo	VERB	17	acl:relcl
30	jeho	DET	31	det
31	myšlení	NOUN	29	obj
32	.	PUNCT	9	punct