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:
Dalším důsledkem tohoto výzkumu je společenská teorie, která nejen že integruje politické a ekonomické rozhodování, ale obsahuje také důležité části právního systému řízení.
Postion	Tokenization
1	Dalším
2	důsledkem
3	tohoto
4	výzkumu
5	je
6	společenská
7	teorie
8	,
9	která
10	nejen
11	že
12	integruje
13	politické
14	a
15	ekonomické
16	rozhodování
17	,
18	ale
19	obsahuje
20	také
21	důležité
22	části
23	právního
24	systému
25	řízení
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Dalším	ADJ	2	amod
2	důsledkem	NOUN	0	root
3	tohoto	DET	4	det
4	výzkumu	NOUN	2	nmod
5	je	AUX	2	cop
6	společenská	ADJ	7	amod
7	teorie	NOUN	2	nsubj
8	,	PUNCT	12	punct
9	která	DET	12	nsubj
10	nejen	PART	12	advmod:emph
11	že	SCONJ	10	fixed
12	integruje	VERB	7	acl:relcl
13	politické	ADJ	16	amod
14	a	CCONJ	15	cc
15	ekonomické	ADJ	13	conj
16	rozhodování	NOUN	12	obj
17	,	PUNCT	19	punct
18	ale	CCONJ	19	cc
19	obsahuje	VERB	12	conj
20	také	ADV	19	advmod
21	důležité	ADJ	22	amod
22	části	NOUN	19	obj
23	právního	ADJ	24	amod
24	systému	NOUN	22	nmod
25	řízení	NOUN	24	nmod
26	.	PUNCT	2	punct