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:
Nebýt zranění, byla Šárka Kašpárková s dosavadní přípravou spokojena: "Poradila jsem se s Ruskou Birjukovou žijící v Jablonci.
Postion	Tokenization
1	Nebýt
2	zranění
3	,
4	byla
5	Šárka
6	Kašpárková
7	s
8	dosavadní
9	přípravou
10	spokojena
11	:
12	"
13	Poradila
14	jsem
15	se
16	s
17	Ruskou
18	Birjukovou
19	žijící
20	v
21	Jablonci
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Nebýt	VERB	10	advcl
2	zranění	NOUN	1	nsubj
3	,	PUNCT	1	punct
4	byla	AUX	10	cop
5	Šárka	PROPN	10	nsubj
6	Kašpárková	PROPN	5	flat
7	s	ADP	9	case
8	dosavadní	ADJ	9	amod
9	přípravou	NOUN	10	obl:arg
10	spokojena	ADJ	0	root
11	:	PUNCT	13	punct
12	"	PUNCT	13	punct
13	Poradila	VERB	10	conj
14	jsem	AUX	13	aux
15	se	PRON	13	expl:pv
16	s	ADP	17	case
17	Ruskou	PROPN	13	obl:arg
18	Birjukovou	PROPN	17	flat
19	žijící	ADJ	17	amod
20	v	ADP	21	case
21	Jablonci	PROPN	19	obl
22	.	PUNCT	10	punct