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:
La distancia creció con la decisión que dividió a la Iglesia de Inglaterra (bastante caótica, por otra parte) al aprobar la ordenación de mujeres.
Postion	Tokenization
1	La
2	distancia
3	creció
4	con
5	la
6	decisión
7	que
8	dividió
9	a
10	la
11	Iglesia
12	de
13	Inglaterra
14	(
15	bastante
16	caótica
17	,
18	por
19	otra
20	parte
21	)
22	al
23	aprobar
24	la
25	ordenación
26	de
27	mujeres
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	distancia	NOUN	3	nsubj
3	creció	VERB	0	root
4	con	ADP	6	case
5	la	DET	6	det
6	decisión	NOUN	3	obl
7	que	PRON	8	nsubj
8	dividió	VERB	6	acl
9	a	ADP	11	case
10	la	DET	11	det
11	Iglesia	PROPN	8	obj
12	de	ADP	13	case
13	Inglaterra	PROPN	11	flat
14	(	PUNCT	16	punct
15	bastante	ADV	16	advmod
16	caótica	ADJ	11	amod
17	,	PUNCT	18	punct
18	por	ADP	16	advmod
19	otra	NOUN	18	fixed
20	parte	NOUN	18	fixed
21	)	PUNCT	16	punct
22	al	ADP	23	mark
23	aprobar	VERB	8	advcl
24	la	DET	25	det
25	ordenación	NOUN	23	obj
26	de	ADP	27	case
27	mujeres	NOUN	25	nmod
28	.	PUNCT	3	punct