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 text: Byl romantik, velký ctitel Richarda Wagnera, který si dal postavit velmi nákladný zámek Neuschwanstein neméně romantický na vrchu a skále s věžemi a zařídil jej s největším přepychem a s patinou tajemnosti.
Position	Tokenization	UPOS	Head	Deprel
1	Byl	AUX	2	cop
2	romantik	NOUN	0	root
3	,	PUNCT	5	punct
4	velký	ADJ	5	amod
5	ctitel	NOUN	2	conj
6	Richarda	PROPN	5	nmod
7	Wagnera	PROPN	6	flat
8	,	PUNCT	11	punct
9	který	DET	11	nsubj
10	si	PRON	11	obl:arg
11	dal	VERB	6	acl:relcl
12	postavit	VERB	11	xcomp
13	velmi	ADV	14	advmod
14	nákladný	ADJ	15	amod
15	zámek	NOUN	12	obj
16	Neuschwanstein	PROPN	15	nmod
17	neméně	ADV	18	advmod
18	romantický	ADJ	15	amod
19	na	ADP	20	case
20	vrchu	NOUN	15	nmod
21	a	CCONJ	22	cc
22	skále	NOUN	20	conj
23	s	ADP	24	case
24	věžemi	NOUN	15	nmod
25	a	CCONJ	26	cc
26	zařídil	VERB	11	conj
27	jej	PRON	26	obj
28	s	ADP	30	case
29	největším	ADJ	30	amod
30	přepychem	NOUN	26	obl
31	a	CCONJ	33	cc
32	s	ADP	33	case
33	patinou	NOUN	30	conj
34	tajemnosti	NOUN	33	nmod
35	.	PUNCT	2	punct