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:
En Belén, donde los ánimos de los habitantes están extremadamente crispados por el asedio de la basílica de la Natividad, se registraron varios incidentes.
Postion	Tokenization
1	En
2	Belén
3	,
4	donde
5	los
6	ánimos
7	de
8	los
9	habitantes
10	están
11	extremadamente
12	crispados
13	por
14	el
15	asedio
16	de
17	la
18	basílica
19	de
20	la
21	Natividad
22	,
23	se
24	registraron
25	varios
26	incidentes
27	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Belén	PROPN	24	obl
3	,	PUNCT	12	punct
4	donde	PRON	12	obl
5	los	DET	6	det
6	ánimos	NOUN	12	nsubj
7	de	ADP	9	case
8	los	DET	9	det
9	habitantes	NOUN	6	nmod
10	están	AUX	12	cop
11	extremadamente	ADV	12	advmod
12	crispados	ADJ	2	acl
13	por	ADP	15	case
14	el	DET	15	det
15	asedio	NOUN	12	obl
16	de	ADP	18	case
17	la	DET	18	det
18	basílica	NOUN	15	nmod
19	de	ADP	21	case
20	la	DET	21	det
21	Natividad	PROPN	18	nmod
22	,	PUNCT	2	punct
23	se	PRON	24	expl:pass
24	registraron	VERB	0	root
25	varios	DET	26	det
26	incidentes	NOUN	24	nsubj
27	.	PUNCT	24	punct