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:
Čestný doktorát lékařských věd udělila včera vědecká rada Univerzity Karlovy George Wiedovi, profesoru patologie, gynekologie a porodnictví na chicagské univerzitě.
Postion	Tokenization
1	Čestný
2	doktorát
3	lékařských
4	věd
5	udělila
6	včera
7	vědecká
8	rada
9	Univerzity
10	Karlovy
11	George
12	Wiedovi
13	,
14	profesoru
15	patologie
16	,
17	gynekologie
18	a
19	porodnictví
20	na
21	chicagské
22	univerzitě
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Čestný	ADJ	2	amod
2	doktorát	NOUN	5	obj
3	lékařských	ADJ	4	amod
4	věd	NOUN	2	nmod
5	udělila	VERB	0	root
6	včera	ADV	5	advmod
7	vědecká	ADJ	8	amod
8	rada	NOUN	5	nsubj
9	Univerzity	NOUN	8	nmod
10	Karlovy	ADJ	9	amod
11	George	PROPN	5	iobj
12	Wiedovi	PROPN	11	flat
13	,	PUNCT	14	punct
14	profesoru	NOUN	11	appos
15	patologie	NOUN	14	nmod
16	,	PUNCT	17	punct
17	gynekologie	NOUN	15	conj
18	a	CCONJ	19	cc
19	porodnictví	NOUN	15	conj
20	na	ADP	22	case
21	chicagské	ADJ	22	amod
22	univerzitě	NOUN	14	nmod
23	.	PUNCT	5	punct