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:
V rozhovoru pro TK SR dále vyjádřil své osobní přesvědčení, že FBIS by se neměla zaměřovat na obyčejné lidi, kteří mají v běžném životě jiné problémy.
Postion	Tokenization
1	V
2	rozhovoru
3	pro
4	TK
5	SR
6	dále
7	vyjádřil
8	své
9	osobní
10	přesvědčení
11	,
12	že
13	FBIS
14	by
15	se
16	neměla
17	zaměřovat
18	na
19	obyčejné
20	lidi
21	,
22	kteří
23	mají
24	v
25	běžném
26	životě
27	jiné
28	problémy
29	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	rozhovoru	NOUN	7	obl
3	pro	ADP	4	case
4	TK	PROPN	2	nmod
5	SR	PROPN	4	nmod
6	dále	ADV	7	advmod
7	vyjádřil	VERB	0	root
8	své	DET	10	det
9	osobní	ADJ	10	amod
10	přesvědčení	NOUN	7	obj
11	,	PUNCT	16	punct
12	že	SCONJ	16	mark
13	FBIS	PROPN	16	nsubj
14	by	AUX	16	aux
15	se	PRON	17	expl:pv
16	neměla	VERB	10	acl
17	zaměřovat	VERB	16	xcomp
18	na	ADP	20	case
19	obyčejné	ADJ	20	amod
20	lidi	NOUN	17	obl:arg
21	,	PUNCT	23	punct
22	kteří	DET	23	nsubj
23	mají	VERB	20	acl:relcl
24	v	ADP	26	case
25	běžném	ADJ	26	amod
26	životě	NOUN	23	obl
27	jiné	ADJ	28	amod
28	problémy	NOUN	23	obj
29	.	PUNCT	7	punct