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 Iglesia hace bien en proclamarlo santo, porque la ha abierto al mundo, la ha hecho más simpática", subraya.
Postion	Tokenization
1	"
2	La
3	Iglesia
4	hace
5	bien
6	en
7	proclamarlo
8	proclamar
9	lo
10	santo
11	,
12	porque
13	la
14	ha
15	abierto
16	al
17	mundo
18	,
19	la
20	ha
21	hecho
22	más
23	simpática
24	"
25	,
26	subraya
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	La	DET	3	det
3	Iglesia	PROPN	4	nsubj
4	hace	VERB	25	ccomp
5	bien	ADV	4	advmod
6	en	ADP	7	mark
7	proclamarlo	_	None	_
8	proclamar	VERB	4	advcl
9	lo	PRON	7	obj
10	santo	NOUN	7	obj
11	,	PUNCT	14	punct
12	porque	SCONJ	14	mark
13	la	PRON	14	obj
14	ha	AUX	14	aux
15	abierto	VERB	4	advcl
16	al	ADP	16	case
17	mundo	NOUN	14	obl
18	,	PUNCT	14	punct
19	la	PRON	20	obj
20	ha	AUX	20	aux
21	hecho	VERB	14	advcl
22	más	ADV	22	advmod
23	simpática	ADJ	20	iobj
24	"	PUNCT	4	punct
25	,	PUNCT	4	punct
26	subraya	VERB	0	root
27	.	PUNCT	25	punct