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:
Třicítka nevidomých se psími pomocníky předvedla včera v Benešově u Prahy svoji dovednost na Memoriálu Miroslava Fišera - 11. mistrovství republiky ve výkonu vodicích psů pro nevidomé.
Postion	Tokenization
1	Třicítka
2	nevidomých
3	se
4	psími
5	pomocníky
6	předvedla
7	včera
8	v
9	Benešově
10	u
11	Prahy
12	svoji
13	dovednost
14	na
15	Memoriálu
16	Miroslava
17	Fišera
18	-
19	11
20	.
21	mistrovství
22	republiky
23	ve
24	výkonu
25	vodicích
26	psů
27	pro
28	nevidomé
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Třicítka	NOUN	6	nsubj
2	nevidomých	NOUN	1	nmod
3	se	ADP	5	case
4	psími	ADJ	5	amod
5	pomocníky	NOUN	6	obl
6	předvedla	VERB	0	root
7	včera	ADV	6	advmod
8	v	ADP	9	case
9	Benešově	PROPN	6	obl
10	u	ADP	11	case
11	Prahy	PROPN	9	nmod
12	svoji	DET	13	det
13	dovednost	NOUN	6	obj
14	na	ADP	15	case
15	Memoriálu	NOUN	6	obl
16	Miroslava	PROPN	15	nmod
17	Fišera	PROPN	16	flat
18	-	PUNCT	21	punct
19	11	NUM	21	nummod
20	.	PUNCT	19	punct
21	mistrovství	NOUN	15	appos
22	republiky	NOUN	21	nmod
23	ve	ADP	24	case
24	výkonu	NOUN	21	nmod
25	vodicích	ADJ	26	amod
26	psů	NOUN	24	nmod
27	pro	ADP	28	case
28	nevidomé	NOUN	26	nmod
29	.	PUNCT	6	punct