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:
Dos meses después de aquel apresurado café, el vecino se mudó de casa sin decir nada, y Antonia dedujo que no fue capaz de despedirse por miedo a mostrar sus emociones.
Postion	Tokenization
1	Dos
2	meses
3	después
4	de
5	aquel
6	apresurado
7	café
8	,
9	el
10	vecino
11	se
12	mudó
13	de
14	casa
15	sin
16	decir
17	nada
18	,
19	y
20	Antonia
21	dedujo
22	que
23	no
24	fue
25	capaz
26	de
27	despedirse
28	despedir
29	se
30	por
31	miedo
32	a
33	mostrar
34	sus
35	emociones
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Dos	NUM	2	nummod
2	meses	NOUN	12	obl
3	después	ADV	2	advmod
4	de	ADP	7	case
5	aquel	DET	7	det
6	apresurado	ADJ	7	amod
7	café	NOUN	3	obl
8	,	PUNCT	2	punct
9	el	DET	10	det
10	vecino	NOUN	12	nsubj
11	se	PRON	12	expl:pv
12	mudó	VERB	0	root
13	de	ADP	14	case
14	casa	NOUN	12	obj
15	sin	ADP	16	mark
16	decir	VERB	12	advcl
17	nada	PRON	16	obj
18	,	PUNCT	21	punct
19	y	CCONJ	21	cc
20	Antonia	PROPN	21	nsubj
21	dedujo	VERB	12	conj
22	que	SCONJ	25	mark
23	no	ADV	25	advmod
24	fue	AUX	25	cop
25	capaz	ADJ	21	ccomp
26	de	ADP	27	mark
27	despedirse	_	None	_
28	despedir	VERB	25	acl
29	se	PRON	27	expl:pv
30	por	ADP	30	case
31	miedo	NOUN	25	obl
32	a	ADP	32	mark
33	mostrar	VERB	30	acl
34	sus	DET	34	det
35	emociones	NOUN	32	obj
36	.	PUNCT	12	punct