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 catalana vive momentos difíciles, pero no tendría que caer en la tentación, tal como pasó con el poeta de Folgueroles, de acallar las voces críticas.
Postion	Tokenization
1	La
2	Iglesia
3	catalana
4	vive
5	momentos
6	difíciles
7	,
8	pero
9	no
10	tendría
11	que
12	caer
13	en
14	la
15	tentación
16	,
17	tal
18	como
19	pasó
20	con
21	el
22	poeta
23	de
24	Folgueroles
25	,
26	de
27	acallar
28	las
29	voces
30	críticas
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Iglesia	PROPN	4	nsubj
3	catalana	ADJ	2	amod
4	vive	VERB	0	root
5	momentos	NOUN	4	obj
6	difíciles	ADJ	5	amod
7	,	PUNCT	10	punct
8	pero	CCONJ	10	cc
9	no	ADV	12	advmod
10	tendría	VERB	4	conj
11	que	SCONJ	12	cc
12	caer	VERB	10	conj
13	en	ADP	15	case
14	la	DET	15	det
15	tentación	NOUN	12	obl
16	,	PUNCT	17	punct
17	tal	PRON	12	obl
18	como	PRON	19	obl
19	pasó	VERB	17	acl
20	con	ADP	22	case
21	el	DET	22	det
22	poeta	NOUN	19	obl
23	de	ADP	24	case
24	Folgueroles	PROPN	22	nmod
25	,	PUNCT	17	punct
26	de	ADP	27	mark
27	acallar	VERB	12	xcomp
28	las	DET	29	det
29	voces	NOUN	27	obj
30	críticas	ADJ	29	amod
31	.	PUNCT	4	punct