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:
První cenu v kategorii A na 11. ročníku Festivalu horolezeckých filmů v Teplicích nad Metují pro snímek Everest '91 (ČT Ostrava, autor J. Procházka) převzal o minulém víkendu Leopold Sulovský.
Postion	Tokenization
1	První
2	cenu
3	v
4	kategorii
5	A
6	na
7	11
8	.
9	ročníku
10	Festivalu
11	horolezeckých
12	filmů
13	v
14	Teplicích
15	nad
16	Metují
17	pro
18	snímek
19	Everest
20	'
21	91
22	(
23	ČT
24	Ostrava
25	,
26	autor
27	J
28	.
29	Procházka
30	)
31	převzal
32	o
33	minulém
34	víkendu
35	Leopold
36	Sulovský
37	.
Position	Tokenization	UPOS	Head	Deprel
1	První	ADJ	2	amod
2	cenu	NOUN	31	obj
3	v	ADP	4	case
4	kategorii	NOUN	2	nmod
5	A	NOUN	4	nmod
6	na	ADP	9	case
7	11	NUM	9	nummod
8	.	PUNCT	7	punct
9	ročníku	NOUN	2	nmod
10	Festivalu	NOUN	9	nmod
11	horolezeckých	ADJ	12	amod
12	filmů	NOUN	10	nmod
13	v	ADP	14	case
14	Teplicích	PROPN	10	nmod
15	nad	ADP	16	case
16	Metují	PROPN	14	nmod
17	pro	ADP	18	case
18	snímek	NOUN	2	nmod
19	Everest	PROPN	18	nmod
20	'	PUNCT	19	punct
21	91	NUM	19	nummod
22	(	PUNCT	23	punct
23	ČT	PROPN	2	dep
24	Ostrava	PROPN	23	nmod
25	,	PUNCT	26	punct
26	autor	NOUN	23	conj
27	J	PROPN	26	flat
28	.	PUNCT	27	punct
29	Procházka	PROPN	26	flat
30	)	PUNCT	23	punct
31	převzal	VERB	0	root
32	o	ADP	34	case
33	minulém	ADJ	34	amod
34	víkendu	NOUN	31	obl
35	Leopold	PROPN	31	nsubj
36	Sulovský	PROPN	35	flat
37	.	PUNCT	31	punct