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 esta ocasión, sin embargo, la causa no fue un fallo en la señalización ni el mal estado de los raíles, que acababan de ser reparados.
Postion	Tokenization
1	En
2	esta
3	ocasión
4	,
5	sin
6	embargo
7	,
8	la
9	causa
10	no
11	fue
12	un
13	fallo
14	en
15	la
16	señalización
17	ni
18	el
19	mal
20	estado
21	de
22	los
23	raíles
24	,
25	que
26	acababan
27	de
28	ser
29	reparados
30	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	esta	DET	3	det
3	ocasión	NOUN	13	obl
4	,	PUNCT	5	punct
5	sin	ADP	13	advmod
6	embargo	NOUN	5	fixed
7	,	PUNCT	5	punct
8	la	DET	9	det
9	causa	NOUN	13	nsubj
10	no	ADV	13	advmod
11	fue	AUX	13	cop
12	un	DET	13	det
13	fallo	NOUN	0	root
14	en	ADP	16	case
15	la	DET	16	det
16	señalización	NOUN	13	nmod
17	ni	CCONJ	20	cc
18	el	DET	20	det
19	mal	ADJ	20	amod
20	estado	NOUN	13	conj
21	de	ADP	23	case
22	los	DET	23	det
23	raíles	NOUN	20	nmod
24	,	PUNCT	26	punct
25	que	PRON	26	nsubj
26	acababan	VERB	23	acl
27	de	ADP	29	mark
28	ser	AUX	26	aux
29	reparados	VERB	26	xcomp
30	.	PUNCT	13	punct