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:
"Všichni chtěli kopírovat trend a la Boris Korbel, kdy se do přestupů vrážely obrovské částky, a projevuje se to dodnes," dodává manažer FC Boby Brno.
Postion	Tokenization
1	"
2	Všichni
3	chtěli
4	kopírovat
5	trend
6	a
7	la
8	Boris
9	Korbel
10	,
11	kdy
12	se
13	do
14	přestupů
15	vrážely
16	obrovské
17	částky
18	,
19	a
20	projevuje
21	se
22	to
23	dodnes
24	,
25	"
26	dodává
27	manažer
28	FC
29	Boby
30	Brno
31	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Všichni	DET	3	nsubj
3	chtěli	VERB	26	ccomp
4	kopírovat	VERB	3	xcomp
5	trend	NOUN	4	obj
6	a	ADP	8	case
7	la	ADJ	6	fixed
8	Boris	PROPN	5	nmod
9	Korbel	PROPN	8	flat
10	,	PUNCT	15	punct
11	kdy	ADV	15	advmod
12	se	PRON	15	expl:pass
13	do	ADP	14	case
14	přestupů	NOUN	15	obl
15	vrážely	VERB	5	acl:relcl
16	obrovské	ADJ	17	amod
17	částky	NOUN	15	nsubj:pass
18	,	PUNCT	20	punct
19	a	CCONJ	20	cc
20	projevuje	VERB	3	conj
21	se	PRON	20	expl:pv
22	to	DET	20	nsubj
23	dodnes	ADV	20	advmod
24	,	PUNCT	3	punct
25	"	PUNCT	3	punct
26	dodává	VERB	0	root
27	manažer	NOUN	26	nsubj
28	FC	PROPN	27	nmod
29	Boby	NOUN	28	nmod
30	Brno	PROPN	29	nmod
31	.	PUNCT	26	punct