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:
Lo que quizá no calculó bien fue que, de paso, asustaba a la gente de izquierda y de centroizquierda, que tiene muy malos recuerdos de cuando se amenazaba a los españoles con semejantes fantasmas.
Postion	Tokenization
1	Lo
2	que
3	quizá
4	no
5	calculó
6	bien
7	fue
8	que
9	,
10	de
11	paso
12	,
13	asustaba
14	a
15	la
16	gente
17	de
18	izquierda
19	y
20	de
21	centroizquierda
22	,
23	que
24	tiene
25	muy
26	malos
27	recuerdos
28	de
29	cuando
30	se
31	amenazaba
32	a
33	los
34	españoles
35	con
36	semejantes
37	fantasmas
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	5	det
2	que	PRON	5	obj
3	quizá	ADV	5	advmod
4	no	ADV	5	advmod
5	calculó	VERB	7	csubj
6	bien	ADV	5	advmod
7	fue	AUX	0	root
8	que	SCONJ	13	mark
9	,	PUNCT	10	punct
10	de	ADP	13	advmod
11	paso	NOUN	10	fixed
12	,	PUNCT	10	punct
13	asustaba	VERB	7	ccomp
14	a	ADP	16	case
15	la	DET	16	det
16	gente	NOUN	13	obj
17	de	ADP	18	case
18	izquierda	NOUN	16	nmod
19	y	CCONJ	21	cc
20	de	ADP	21	case
21	centroizquierda	NOUN	18	conj
22	,	PUNCT	24	punct
23	que	PRON	24	nsubj
24	tiene	VERB	16	acl
25	muy	ADV	26	advmod
26	malos	ADJ	27	amod
27	recuerdos	NOUN	24	obj
28	de	ADP	31	mark
29	cuando	SCONJ	31	mark
30	se	PRON	31	expl:impers
31	amenazaba	VERB	27	acl
32	a	ADP	34	case
33	los	DET	34	det
34	españoles	NOUN	31	obj
35	con	ADP	37	case
36	semejantes	DET	37	det
37	fantasmas	NOUN	31	obj
38	.	PUNCT	7	punct