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:
No one will ever know whether the recent elections in Spain would have yielded a different result, if not for the train bombings a few days earlier.
Postion	Tokenization
1	No
2	one
3	will
4	ever
5	know
6	whether
7	the
8	recent
9	elections
10	in
11	Spain
12	would
13	have
14	yielded
15	a
16	different
17	result
18	,
19	if
20	not
21	for
22	the
23	train
24	bombings
25	a
26	few
27	days
28	earlier
29	.
Position	Tokenization	UPOS	Head	Deprel
1	No	DET	2	det
2	one	NOUN	5	nsubj
3	will	AUX	5	aux
4	ever	ADV	5	advmod
5	know	VERB	0	root
6	whether	SCONJ	14	mark
7	the	DET	9	det
8	recent	ADJ	9	amod
9	elections	NOUN	14	nsubj
10	in	ADP	11	case
11	Spain	PROPN	9	nmod
12	would	AUX	14	aux
13	have	AUX	14	aux
14	yielded	VERB	5	ccomp
15	a	DET	17	det
16	different	ADJ	17	amod
17	result	NOUN	14	obj
18	,	PUNCT	14	punct
19	if	SCONJ	24	mark
20	not	ADV	24	advmod
21	for	ADP	24	case
22	the	DET	24	det
23	train	NOUN	24	compound
24	bombings	NOUN	14	advcl
25	a	DET	27	det
26	few	ADJ	27	amod
27	days	NOUN	28	obl:npmod
28	earlier	ADV	24	advmod
29	.	PUNCT	5	punct