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:
Romario tak protestoval proti vystřídání v přátelském zápase s Realem Madrid, ve kterém zaznamenal v prvním poločase dvě branky, a přesto byl trenérem Westerhofem vyměněn.
Postion	Tokenization
1	Romario
2	tak
3	protestoval
4	proti
5	vystřídání
6	v
7	přátelském
8	zápase
9	s
10	Realem
11	Madrid
12	,
13	ve
14	kterém
15	zaznamenal
16	v
17	prvním
18	poločase
19	dvě
20	branky
21	,
22	a
23	přesto
24	byl
25	trenérem
26	Westerhofem
27	vyměněn
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Romario	PROPN	3	nsubj
2	tak	ADV	3	advmod
3	protestoval	VERB	0	root
4	proti	ADP	5	case
5	vystřídání	NOUN	3	obl:arg
6	v	ADP	8	case
7	přátelském	ADJ	8	amod
8	zápase	NOUN	5	nmod
9	s	ADP	10	case
10	Realem	PROPN	8	nmod
11	Madrid	PROPN	10	nmod
12	,	PUNCT	15	punct
13	ve	ADP	14	case
14	kterém	DET	15	obl
15	zaznamenal	VERB	8	acl:relcl
16	v	ADP	18	case
17	prvním	ADJ	18	amod
18	poločase	NOUN	15	obl
19	dvě	NUM	20	nummod
20	branky	NOUN	15	obj
21	,	PUNCT	27	punct
22	a	CCONJ	27	cc
23	přesto	ADV	27	cc
24	byl	AUX	27	aux:pass
25	trenérem	NOUN	27	obl:arg
26	Westerhofem	PROPN	25	flat
27	vyměněn	ADJ	15	conj
28	.	PUNCT	3	punct