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:
Z jiných zdrojů jsme se dokonce dozvěděli, že Slovan je stále zadlužen z doby, kdy zdejším funkcionářům sliboval tajemný sponzor desítky milionů.
Postion	Tokenization
1	Z
2	jiných
3	zdrojů
4	jsme
5	se
6	dokonce
7	dozvěděli
8	,
9	že
10	Slovan
11	je
12	stále
13	zadlužen
14	z
15	doby
16	,
17	kdy
18	zdejším
19	funkcionářům
20	sliboval
21	tajemný
22	sponzor
23	desítky
24	milionů
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Z	ADP	3	case
2	jiných	ADJ	3	amod
3	zdrojů	NOUN	7	obl
4	jsme	AUX	7	aux
5	se	PRON	7	expl:pv
6	dokonce	ADV	7	advmod:emph
7	dozvěděli	VERB	0	root
8	,	PUNCT	13	punct
9	že	SCONJ	13	mark
10	Slovan	PROPN	13	nsubj
11	je	AUX	13	cop
12	stále	ADV	13	advmod
13	zadlužen	ADJ	7	ccomp
14	z	ADP	15	case
15	doby	NOUN	13	obl
16	,	PUNCT	20	punct
17	kdy	ADV	20	advmod
18	zdejším	ADJ	19	amod
19	funkcionářům	NOUN	20	obl:arg
20	sliboval	VERB	15	acl:relcl
21	tajemný	ADJ	22	amod
22	sponzor	NOUN	20	nsubj
23	desítky	NOUN	20	obj
24	milionů	NOUN	23	nmod
25	.	PUNCT	7	punct