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:
V hledání důvodů pro a proti bychom mohli pokračovat, faktem však je, že důvody pro očividně převážily a že to byly důvody jak hospodářské, tak politické povahy.
Postion	Tokenization
1	V
2	hledání
3	důvodů
4	pro
5	a
6	proti
7	bychom
8	mohli
9	pokračovat
10	,
11	faktem
12	však
13	je
14	,
15	že
16	důvody
17	pro
18	očividně
19	převážily
20	a
21	že
22	to
23	byly
24	důvody
25	jak
26	hospodářské
27	,
28	tak
29	politické
30	povahy
31	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	hledání	NOUN	9	obl:arg
3	důvodů	NOUN	2	nmod
4	pro	ADP	3	nmod
5	a	CCONJ	6	cc
6	proti	ADP	4	conj
7	bychom	AUX	8	aux
8	mohli	VERB	0	root
9	pokračovat	VERB	8	xcomp
10	,	PUNCT	11	punct
11	faktem	NOUN	8	conj
12	však	CCONJ	11	cc
13	je	AUX	11	cop
14	,	PUNCT	19	punct
15	že	SCONJ	19	mark
16	důvody	NOUN	19	nsubj
17	pro	ADP	16	nmod
18	očividně	ADV	19	advmod
19	převážily	VERB	11	csubj
20	a	CCONJ	24	cc
21	že	SCONJ	24	mark
22	to	DET	24	nsubj
23	byly	AUX	24	cop
24	důvody	NOUN	19	conj
25	jak	SCONJ	26	cc
26	hospodářské	ADJ	30	amod
27	,	PUNCT	29	punct
28	tak	CCONJ	29	cc
29	politické	ADJ	26	conj
30	povahy	NOUN	24	nmod
31	.	PUNCT	8	punct