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:
Claro que en su época no había genios, como aquel baturro sordo, que pintó a la otra Cayetana, aquella gran española que andaba con más realeza y mejor porte que la propia reina sodomizada por Godoy.
Postion	Tokenization
1	Claro
2	que
3	en
4	su
5	época
6	no
7	había
8	genios
9	,
10	como
11	aquel
12	baturro
13	sordo
14	,
15	que
16	pintó
17	a
18	la
19	otra
20	Cayetana
21	,
22	aquella
23	gran
24	española
25	que
26	andaba
27	con
28	más
29	realeza
30	y
31	mejor
32	porte
33	que
34	la
35	propia
36	reina
37	sodomizada
38	por
39	Godoy
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Claro	ADV	7	advmod
2	que	SCONJ	7	mark
3	en	ADP	5	case
4	su	DET	5	det
5	época	NOUN	7	obl
6	no	ADV	7	advmod
7	había	AUX	0	root
8	genios	NOUN	7	obj
9	,	PUNCT	12	punct
10	como	SCONJ	12	mark
11	aquel	DET	12	det
12	baturro	NOUN	8	nmod
13	sordo	ADJ	12	amod
14	,	PUNCT	16	punct
15	que	PRON	16	nsubj
16	pintó	VERB	12	acl
17	a	ADP	20	case
18	la	DET	20	det
19	otra	DET	18	det
20	Cayetana	PROPN	16	obj
21	,	PUNCT	24	punct
22	aquella	DET	24	det
23	gran	ADJ	24	amod
24	española	NOUN	20	appos
25	que	PRON	26	nsubj
26	andaba	VERB	24	acl
27	con	ADP	29	case
28	más	ADV	29	advmod
29	realeza	NOUN	26	obl
30	y	CCONJ	32	cc
31	mejor	ADJ	32	amod
32	porte	NOUN	29	conj
33	que	SCONJ	36	mark
34	la	DET	36	det
35	propia	ADJ	36	amod
36	reina	NOUN	29	nmod
37	sodomizada	ADJ	36	amod
38	por	ADP	39	case
39	Godoy	PROPN	37	obj
40	.	PUNCT	7	punct