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:
Psychicky amerického tenistu zlomil druhý set, ve kterém vedl už 5:0, ale po devíti neproměněných setbolech ho nakonec ztratil.
Postion	Tokenization
1	Psychicky
2	amerického
3	tenistu
4	zlomil
5	druhý
6	set
7	,
8	ve
9	kterém
10	vedl
11	už
12	5
13	:
14	0
15	,
16	ale
17	po
18	devíti
19	neproměněných
20	setbolech
21	ho
22	nakonec
23	ztratil
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Psychicky	ADV	4	advmod
2	amerického	ADJ	3	amod
3	tenistu	NOUN	4	obj
4	zlomil	VERB	0	root
5	druhý	ADJ	6	amod
6	set	NOUN	4	nsubj
7	,	PUNCT	10	punct
8	ve	ADP	9	case
9	kterém	DET	10	obl
10	vedl	VERB	6	acl:relcl
11	už	ADV	12	advmod:emph
12	5	NUM	10	obl
13	:	PUNCT	14	punct
14	0	NUM	12	conj
15	,	PUNCT	23	punct
16	ale	CCONJ	23	cc
17	po	ADP	20	case
18	devíti	NUM	20	nummod
19	neproměněných	ADJ	20	amod
20	setbolech	NOUN	23	obl
21	ho	PRON	23	obj
22	nakonec	ADV	23	advmod
23	ztratil	VERB	10	conj
24	.	PUNCT	4	punct