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:
Esencialmente por culpa de la Iglesia católica - - la del valle de lágrimas - -, cuya moral está radicalmente influida por lo antinatural.
Postion	Tokenization
1	Esencialmente
2	por
3	culpa
4	de
5	la
6	Iglesia
7	católica
8	-
9	-
10	la
11	del
12	valle
13	de
14	lágrimas
15	-
16	-
17	,
18	cuya
19	moral
20	está
21	radicalmente
22	influida
23	por
24	lo
25	antinatural
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Esencialmente	ADV	0	root
2	por	ADP	1	case
3	culpa	NOUN	1	nmod
4	de	ADP	6	case
5	la	DET	6	det
6	Iglesia	PROPN	3	nmod
7	católica	ADJ	6	amod
8	-	PUNCT	10	punct
9	-	PUNCT	10	punct
10	la	DET	6	det
11	del	ADP	10	case
12	valle	NOUN	10	appos
13	de	ADP	14	case
14	lágrimas	NOUN	12	nmod
15	-	PUNCT	10	punct
16	-	PUNCT	10	punct
17	,	PUNCT	22	punct
18	cuya	PRON	19	nmod
19	moral	NOUN	22	nsubj
20	está	AUX	22	cop
21	radicalmente	ADV	22	advmod
22	influida	ADJ	6	acl
23	por	ADP	25	case
24	lo	PRON	25	det
25	antinatural	ADJ	22	obj
26	.	PUNCT	1	punct