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 tomto směru svému muži věřím, ale spíše se bojím," říká Kelli," když na ledě vypukne rvačka, při které teče krev.
Postion	Tokenization
1	"
2	V
3	tomto
4	směru
5	svému
6	muži
7	věřím
8	,
9	ale
10	spíše
11	se
12	bojím
13	,
14	"
15	říká
16	Kelli
17	,
18	"
19	když
20	na
21	ledě
22	vypukne
23	rvačka
24	,
25	při
26	které
27	teče
28	krev
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	7	punct
2	V	ADP	4	case
3	tomto	DET	4	det
4	směru	NOUN	7	nmod
5	svému	DET	6	det
6	muži	NOUN	7	obl:arg
7	věřím	VERB	15	ccomp
8	,	PUNCT	12	punct
9	ale	CCONJ	12	cc
10	spíše	ADV	12	advmod
11	se	PRON	12	expl:pv
12	bojím	VERB	7	conj
13	,	PUNCT	12	punct
14	"	PUNCT	15	punct
15	říká	VERB	0	root
16	Kelli	PROPN	15	nsubj
17	,	PUNCT	22	punct
18	"	PUNCT	22	punct
19	když	SCONJ	22	mark
20	na	ADP	21	case
21	ledě	NOUN	22	obl
22	vypukne	VERB	12	advcl
23	rvačka	NOUN	22	nsubj
24	,	PUNCT	27	punct
25	při	ADP	26	case
26	které	DET	27	obl
27	teče	VERB	23	acl:relcl
28	krev	NOUN	27	nsubj
29	.	PUNCT	15	punct