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:
To je také důsledek nerovných podmínek na trhu, kdy čtyři velké banky mají pro fyzické osoby státní garanci vkladů a úroků z nich a ostatní ji nemají.
Postion	Tokenization
1	To
2	je
3	také
4	důsledek
5	nerovných
6	podmínek
7	na
8	trhu
9	,
10	kdy
11	čtyři
12	velké
13	banky
14	mají
15	pro
16	fyzické
17	osoby
18	státní
19	garanci
20	vkladů
21	a
22	úroků
23	z
24	nich
25	a
26	ostatní
27	ji
28	nemají
29	.
Position	Tokenization	UPOS	Head	Deprel
1	To	DET	4	nsubj
2	je	AUX	4	cop
3	také	ADV	4	advmod
4	důsledek	NOUN	0	root
5	nerovných	ADJ	6	amod
6	podmínek	NOUN	4	nmod
7	na	ADP	8	case
8	trhu	NOUN	6	nmod
9	,	PUNCT	14	punct
10	kdy	ADV	14	advmod
11	čtyři	NUM	13	nummod
12	velké	ADJ	13	amod
13	banky	NOUN	14	nsubj
14	mají	VERB	6	acl:relcl
15	pro	ADP	17	case
16	fyzické	ADJ	17	amod
17	osoby	NOUN	14	obl
18	státní	ADJ	19	amod
19	garanci	NOUN	14	obj
20	vkladů	NOUN	19	nmod
21	a	CCONJ	22	cc
22	úroků	NOUN	20	conj
23	z	ADP	24	case
24	nich	PRON	22	nmod
25	a	CCONJ	28	cc
26	ostatní	ADJ	28	nsubj
27	ji	PRON	28	obj
28	nemají	VERB	14	conj
29	.	PUNCT	4	punct