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:
De su antepasado, Cayetana ha heredado la piedad de rodearse de poetas religiosos, puesto que el de Flandes frecuentó a Fray Luis de Granada.
Postion	Tokenization
1	De
2	su
3	antepasado
4	,
5	Cayetana
6	ha
7	heredado
8	la
9	piedad
10	de
11	rodearse
12	rodear
13	se
14	de
15	poetas
16	religiosos
17	,
18	puesto
19	que
20	el
21	de
22	Flandes
23	frecuentó
24	a
25	Fray
26	Luis
27	de
28	Granada
29	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	3	case
2	su	DET	3	det
3	antepasado	NOUN	7	obj
4	,	PUNCT	3	punct
5	Cayetana	PROPN	7	nsubj
6	ha	AUX	7	aux
7	heredado	VERB	0	root
8	la	DET	9	det
9	piedad	NOUN	7	obj
10	de	ADP	11	mark
11	rodearse	_	None	_
12	rodear	VERB	9	acl
13	se	PRON	11	obj
14	de	ADP	14	case
15	poetas	NOUN	11	obj
16	religiosos	ADJ	14	amod
17	,	PUNCT	22	punct
18	puesto	NOUN	22	mark
19	que	SCONJ	17	fixed
20	el	DET	22	det
21	de	ADP	19	case
22	Flandes	PROPN	19	nsubj
23	frecuentó	VERB	7	advcl
24	a	ADP	24	case
25	Fray	PROPN	22	obj
26	Luis	PROPN	24	flat
27	de	ADP	27	case
28	Granada	PROPN	24	flat
29	.	PUNCT	7	punct