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:
Medaili Jiřího z Poděbrad za vědeckou a pedagogickou činnost a za dlouholeté působení v nevládních organizacích usilujících o sjednocení Evropy předal včera Johnu Pinderovi rektor Vysoké školy ekonomické v Praze Jan Seger.
Postion	Tokenization
1	Medaili
2	Jiřího
3	z
4	Poděbrad
5	za
6	vědeckou
7	a
8	pedagogickou
9	činnost
10	a
11	za
12	dlouholeté
13	působení
14	v
15	nevládních
16	organizacích
17	usilujících
18	o
19	sjednocení
20	Evropy
21	předal
22	včera
23	Johnu
24	Pinderovi
25	rektor
26	Vysoké
27	školy
28	ekonomické
29	v
30	Praze
31	Jan
32	Seger
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Medaili	NOUN	21	obj
2	Jiřího	PROPN	1	nmod
3	z	ADP	4	case
4	Poděbrad	PROPN	2	nmod
5	za	ADP	9	case
6	vědeckou	ADJ	9	amod
7	a	CCONJ	8	cc
8	pedagogickou	ADJ	6	conj
9	činnost	NOUN	1	nmod
10	a	CCONJ	13	cc
11	za	ADP	13	case
12	dlouholeté	ADJ	13	amod
13	působení	NOUN	9	conj
14	v	ADP	16	case
15	nevládních	ADJ	16	amod
16	organizacích	NOUN	13	nmod
17	usilujících	ADJ	16	amod
18	o	ADP	19	case
19	sjednocení	NOUN	17	obl:arg
20	Evropy	PROPN	19	nmod
21	předal	VERB	0	root
22	včera	ADV	21	advmod
23	Johnu	PROPN	21	obl:arg
24	Pinderovi	PROPN	23	flat
25	rektor	NOUN	21	nsubj
26	Vysoké	ADJ	27	amod
27	školy	NOUN	25	nmod
28	ekonomické	ADJ	27	amod
29	v	ADP	30	case
30	Praze	PROPN	27	nmod
31	Jan	PROPN	25	flat
32	Seger	PROPN	25	flat
33	.	PUNCT	21	punct