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:
K vyšším důchodovým výdajům přispívaly také mimořádné důchody pro preferovaná zaměstnání, ze kterých ještě navíc lidé odcházeli do důchodu podstatně dříve.
Postion	Tokenization
1	K
2	vyšším
3	důchodovým
4	výdajům
5	přispívaly
6	také
7	mimořádné
8	důchody
9	pro
10	preferovaná
11	zaměstnání
12	,
13	ze
14	kterých
15	ještě
16	navíc
17	lidé
18	odcházeli
19	do
20	důchodu
21	podstatně
22	dříve
23	.
Position	Tokenization	UPOS	Head	Deprel
1	K	ADP	4	case
2	vyšším	ADJ	4	amod
3	důchodovým	ADJ	4	amod
4	výdajům	NOUN	5	obl:arg
5	přispívaly	VERB	0	root
6	také	ADV	5	advmod
7	mimořádné	ADJ	8	amod
8	důchody	NOUN	5	nsubj
9	pro	ADP	11	case
10	preferovaná	ADJ	11	amod
11	zaměstnání	NOUN	8	nmod
12	,	PUNCT	18	punct
13	ze	ADP	14	case
14	kterých	DET	18	obl
15	ještě	ADV	16	advmod
16	navíc	ADV	18	advmod
17	lidé	NOUN	18	nsubj
18	odcházeli	VERB	11	acl:relcl
19	do	ADP	20	case
20	důchodu	NOUN	18	obl
21	podstatně	ADV	22	advmod
22	dříve	ADV	18	advmod
23	.	PUNCT	5	punct