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:
Jeho přínos pro rozvoj ekonomické vědy byl také oceněn čestnou cenou Franka Seidmana (1984), udělením čestných doktorátů univerzity v Zürichu a Giessenu a čestným členstvím v Americké ekonomické asociaci.
Postion	Tokenization
1	Jeho
2	přínos
3	pro
4	rozvoj
5	ekonomické
6	vědy
7	byl
8	také
9	oceněn
10	čestnou
11	cenou
12	Franka
13	Seidmana
14	(
15	1984
16	)
17	,
18	udělením
19	čestných
20	doktorátů
21	univerzity
22	v
23	Zürichu
24	a
25	Giessenu
26	a
27	čestným
28	členstvím
29	v
30	Americké
31	ekonomické
32	asociaci
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Jeho	DET	2	det
2	přínos	NOUN	9	nsubj:pass
3	pro	ADP	4	case
4	rozvoj	NOUN	2	nmod
5	ekonomické	ADJ	6	amod
6	vědy	NOUN	4	nmod
7	byl	AUX	9	aux:pass
8	také	ADV	9	advmod
9	oceněn	ADJ	0	root
10	čestnou	ADJ	11	amod
11	cenou	NOUN	9	obl
12	Franka	PROPN	11	nmod
13	Seidmana	PROPN	12	flat
14	(	PUNCT	12	punct
15	1984	NUM	12	dep
16	)	PUNCT	12	punct
17	,	PUNCT	18	punct
18	udělením	NOUN	11	conj
19	čestných	ADJ	20	amod
20	doktorátů	NOUN	18	nmod
21	univerzity	NOUN	20	nmod
22	v	ADP	23	case
23	Zürichu	PROPN	21	nmod
24	a	CCONJ	25	cc
25	Giessenu	PROPN	23	conj
26	a	CCONJ	28	cc
27	čestným	ADJ	28	amod
28	členstvím	NOUN	11	conj
29	v	ADP	32	case
30	Americké	ADJ	32	amod
31	ekonomické	ADJ	32	amod
32	asociaci	NOUN	28	nmod
33	.	PUNCT	9	punct