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 text: Uvidíme, jestli k této změně nepřistoupíme trvale, na to mám dost času, řekl po utkání trenér Beránek a k další změně v obraně dodal: Příčinou Pěničkova střídání byly dva centry předcházející gólům, které šly z jeho strany.
Position	Tokenization	UPOS	Head	Deprel
1	Uvidíme	VERB	16	ccomp
2	,	PUNCT	7	punct
3	jestli	SCONJ	7	mark
4	k	ADP	6	case
5	této	DET	6	det
6	změně	NOUN	7	obl:arg
7	nepřistoupíme	VERB	1	ccomp
8	trvale	ADV	7	advmod
9	,	PUNCT	12	punct
10	na	ADP	11	case
11	to	DET	14	det
12	mám	VERB	1	conj
13	dost	ADV	12	obj
14	času	NOUN	13	nmod
15	,	PUNCT	1	punct
16	řekl	VERB	0	root
17	po	ADP	18	case
18	utkání	NOUN	16	obl
19	trenér	NOUN	16	nsubj
20	Beránek	PROPN	19	flat
21	a	CCONJ	27	cc
22	k	ADP	24	case
23	další	ADJ	24	amod
24	změně	NOUN	27	obl:arg
25	v	ADP	26	case
26	obraně	NOUN	24	nmod
27	dodal	VERB	16	conj
28	:	PUNCT	29	punct
29	Příčinou	NOUN	27	ccomp
30	Pěničkova	ADJ	31	amod
31	střídání	NOUN	29	nmod
32	byly	AUX	29	cop
33	dva	NUM	34	nummod
34	centry	NOUN	29	nsubj
35	předcházející	ADJ	34	amod
36	gólům	NOUN	35	obl:arg
37	,	PUNCT	39	punct
38	které	DET	39	nsubj
39	šly	VERB	36	acl:relcl
40	z	ADP	42	case
41	jeho	DET	42	det
42	strany	NOUN	39	obl
43	.	PUNCT	16	punct