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:
Důsledkem neuspokojivě řešené dnešní situace ve vztahu k minulosti je také fakt, že se vytvořily dvě výrazně oddělené názorové skupiny, jejichž postoje představují z hlediska ideového nebezpečnou past.
Postion	Tokenization
1	Důsledkem
2	neuspokojivě
3	řešené
4	dnešní
5	situace
6	ve
7	vztahu
8	k
9	minulosti
10	je
11	také
12	fakt
13	,
14	že
15	se
16	vytvořily
17	dvě
18	výrazně
19	oddělené
20	názorové
21	skupiny
22	,
23	jejichž
24	postoje
25	představují
26	z
27	hlediska
28	ideového
29	nebezpečnou
30	past
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Důsledkem	NOUN	0	root
2	neuspokojivě	ADV	3	advmod
3	řešené	ADJ	5	amod
4	dnešní	ADJ	5	amod
5	situace	NOUN	1	nmod
6	ve	ADP	9	case
7	vztahu	NOUN	6	fixed
8	k	ADP	6	fixed
9	minulosti	NOUN	1	nmod
10	je	AUX	1	cop
11	také	ADV	1	advmod
12	fakt	NOUN	1	nsubj
13	,	PUNCT	16	punct
14	že	SCONJ	16	mark
15	se	PRON	16	expl:pv
16	vytvořily	VERB	12	acl
17	dvě	NUM	21	nummod
18	výrazně	ADV	19	advmod
19	oddělené	ADJ	21	amod
20	názorové	ADJ	21	amod
21	skupiny	NOUN	16	nsubj
22	,	PUNCT	25	punct
23	jejichž	DET	24	det
24	postoje	NOUN	25	nsubj
25	představují	VERB	21	acl:relcl
26	z	ADP	27	case
27	hlediska	NOUN	25	obl
28	ideového	ADJ	27	amod
29	nebezpečnou	ADJ	30	amod
30	past	NOUN	25	obj
31	.	PUNCT	1	punct