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:
Gormanův protějšek Sjögren spoléhá především na nedávného vítěze US Open Edberga, který nastoupí ve dvouhrách a společně s Jarrydem i ve čtyřhře.
Postion	Tokenization
1	Gormanův
2	protějšek
3	Sjögren
4	spoléhá
5	především
6	na
7	nedávného
8	vítěze
9	US
10	Open
11	Edberga
12	,
13	který
14	nastoupí
15	ve
16	dvouhrách
17	_
18	a
19	společně
20	s
21	Jarrydem
22	i
23	ve
24	čtyřhře
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Gormanův	ADJ	2	amod
2	protějšek	NOUN	3	nmod
3	Sjögren	PROPN	4	nsubj
4	spoléhá	VERB	0	root
5	především	ADV	8	advmod:emph
6	na	ADP	8	case
7	nedávného	ADJ	8	amod
8	vítěze	NOUN	4	obl:arg
9	US	ADJ	8	amod
10	Open	ADJ	9	flat:foreign
11	Edberga	PROPN	8	flat
12	,	PUNCT	14	punct
13	který	DET	14	nsubj
14	nastoupí	VERB	8	acl:relcl
15	ve	ADP	16	case
16	dvouhrách	NOUN	14	obl
17	_	_	None	_
18	a	CCONJ	20	cc
19	společně	ADV	20	case
20	s	ADP	18	fixed
21	Jarrydem	PROPN	14	conj
22	i	CCONJ	23	advmod:emph
23	ve	ADP	23	case
24	čtyřhře	NOUN	20	orphan
25	.	PUNCT	4	punct