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:
Má to své důvody, především finanční, není také třeba kalkulovat s odlišnými zvyklostmi a společenskými rituály: láska, rodina a mravní kodexy se nemění, jen technika pokročila.
Postion	Tokenization
1	Má
2	to
3	své
4	důvody
5	,
6	především
7	finanční
8	,
9	není
10	také
11	třeba
12	kalkulovat
13	s
14	odlišnými
15	zvyklostmi
16	a
17	společenskými
18	rituály
19	:
20	láska
21	,
22	rodina
23	a
24	mravní
25	kodexy
26	se
27	nemění
28	,
29	jen
30	technika
31	pokročila
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Má	VERB	0	root
2	to	DET	1	nsubj
3	své	DET	4	det
4	důvody	NOUN	1	obj
5	,	PUNCT	7	punct
6	především	ADV	7	advmod:emph
7	finanční	ADJ	4	amod
8	,	PUNCT	11	punct
9	není	AUX	11	cop
10	také	ADV	11	advmod
11	třeba	ADJ	1	conj
12	kalkulovat	VERB	11	csubj
13	s	ADP	15	case
14	odlišnými	ADJ	15	amod
15	zvyklostmi	NOUN	12	obl:arg
16	a	CCONJ	18	cc
17	společenskými	ADJ	18	amod
18	rituály	NOUN	15	conj
19	:	PUNCT	27	punct
20	láska	NOUN	27	nsubj
21	,	PUNCT	22	punct
22	rodina	NOUN	20	conj
23	a	CCONJ	25	cc
24	mravní	ADJ	25	amod
25	kodexy	NOUN	20	conj
26	se	PRON	27	expl:pv
27	nemění	VERB	11	conj
28	,	PUNCT	31	punct
29	jen	PART	30	advmod:emph
30	technika	NOUN	31	nsubj
31	pokročila	VERB	27	conj
32	.	PUNCT	1	punct