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:
Ya se han separado las conexiones de ZZNM con el ámbito de lo religioso; una cierta interpretación romántica o tardorromántica del personaje, cuyo ejemplo pudiera ser ZZNM, ha querido hacer de él un personaje trágico.
Postion	Tokenization
1	Ya
2	se
3	han
4	separado
5	las
6	conexiones
7	de
8	ZZNM
9	con
10	el
11	ámbito
12	de
13	lo
14	religioso
15	;
16	una
17	cierta
18	interpretación
19	romántica
20	o
21	tardorromántica
22	del
23	personaje
24	,
25	cuyo
26	ejemplo
27	pudiera
28	ser
29	ZZNM
30	,
31	ha
32	querido
33	hacer
34	de
35	él
36	un
37	personaje
38	trágico
39	.
Position	Tokenization	UPOS	Head	Deprel
1	Ya	ADV	4	advmod
2	se	PRON	4	expl:pass
3	han	AUX	4	aux
4	separado	VERB	0	root
5	las	DET	6	det
6	conexiones	NOUN	4	nsubj
7	de	ADP	8	case
8	ZZNM	PROPN	6	nmod
9	con	ADP	11	case
10	el	DET	11	det
11	ámbito	NOUN	6	nmod
12	de	ADP	14	case
13	lo	PRON	14	det
14	religioso	ADJ	11	amod
15	;	PUNCT	4	punct
16	una	DET	18	det
17	cierta	DET	16	det
18	interpretación	NOUN	32	nsubj
19	romántica	ADJ	18	amod
20	o	CCONJ	21	cc
21	tardorromántica	ADJ	19	conj
22	del	ADP	23	case
23	personaje	NOUN	18	nmod
24	,	PUNCT	29	punct
25	cuyo	PRON	26	nmod
26	ejemplo	NOUN	29	nsubj
27	pudiera	AUX	29	aux
28	ser	AUX	29	cop
29	ZZNM	PROPN	18	acl
30	,	PUNCT	29	punct
31	ha	AUX	32	aux
32	querido	VERB	4	advcl
33	hacer	VERB	32	xcomp
34	de	ADP	35	case
35	él	PRON	33	obj
36	un	DET	37	det
37	personaje	NOUN	33	obj
38	trágico	ADJ	37	amod
39	.	PUNCT	4	punct