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:
Apareció, al igual que Zidane, en pocas ocasiones, pero fueron suficientes para demostrar, por ejemplo, la lentitud de Frank de Boer.
Postion	Tokenization
1	Apareció
2	,
3	al
4	igual
5	que
6	Zidane
7	,
8	en
9	pocas
10	ocasiones
11	,
12	pero
13	fueron
14	suficientes
15	para
16	demostrar
17	,
18	por
19	ejemplo
20	,
21	la
22	lentitud
23	de
24	Frank
25	de
26	Boer
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Apareció	VERB	0	root
2	,	PUNCT	6	punct
3	al	ADP	6	mark
4	igual	ADJ	3	fixed
5	que	SCONJ	3	fixed
6	Zidane	PROPN	1	obl
7	,	PUNCT	6	punct
8	en	ADP	10	case
9	pocas	DET	10	det
10	ocasiones	NOUN	1	obl
11	,	PUNCT	14	punct
12	pero	CCONJ	14	cc
13	fueron	AUX	14	cop
14	suficientes	ADJ	1	conj
15	para	ADP	16	mark
16	demostrar	VERB	14	advcl
17	,	PUNCT	18	punct
18	por	ADP	22	advmod
19	ejemplo	NOUN	18	fixed
20	,	PUNCT	18	punct
21	la	DET	22	det
22	lentitud	NOUN	16	obj
23	de	ADP	24	case
24	Frank	PROPN	22	nmod
25	de	ADP	26	case
26	Boer	PROPN	24	flat
27	.	PUNCT	1	punct