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:
Letenští vyrazí na honbu za obhajobou titulu s uzdraveným Koubou v brance a Frýdkem, jenž měl výpadky v přípravě, nejspíše na lavičce.
Postion	Tokenization
1	Letenští
2	vyrazí
3	na
4	honbu
5	za
6	obhajobou
7	titulu
8	s
9	uzdraveným
10	Koubou
11	v
12	brance
13	a
14	Frýdkem
15	,
16	jenž
17	měl
18	výpadky
19	v
20	přípravě
21	,
22	nejspíše
23	na
24	lavičce
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Letenští	ADJ	2	nsubj
2	vyrazí	VERB	0	root
3	na	ADP	4	case
4	honbu	NOUN	2	obl
5	za	ADP	6	case
6	obhajobou	NOUN	4	nmod
7	titulu	NOUN	6	nmod
8	s	ADP	10	case
9	uzdraveným	ADJ	10	amod
10	Koubou	PROPN	2	obl
11	v	ADP	12	case
12	brance	NOUN	10	nmod
13	a	CCONJ	14	cc
14	Frýdkem	PROPN	10	conj
15	,	PUNCT	17	punct
16	jenž	PRON	17	nsubj
17	měl	VERB	14	acl:relcl
18	výpadky	NOUN	17	obj
19	v	ADP	20	case
20	přípravě	NOUN	18	nmod
21	,	PUNCT	17	punct
22	nejspíše	ADV	24	advmod:emph
23	na	ADP	24	case
24	lavičce	NOUN	14	nmod
25	.	PUNCT	2	punct