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:
Cumming volvió a defender durante la campaña electoral, tal como hiciera en los últimos comicios, una fórmula de soberanía compartida entre España y el Reino Unido.
Postion	Tokenization
1	Cumming
2	volvió
3	a
4	defender
5	durante
6	la
7	campaña
8	electoral
9	,
10	tal
11	como
12	hiciera
13	en
14	los
15	últimos
16	comicios
17	,
18	una
19	fórmula
20	de
21	soberanía
22	compartida
23	entre
24	España
25	y
26	el
27	Reino
28	Unido
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Cumming	PROPN	2	nsubj
2	volvió	VERB	0	root
3	a	ADP	4	mark
4	defender	VERB	2	xcomp
5	durante	ADP	7	case
6	la	DET	7	det
7	campaña	NOUN	2	obl
8	electoral	ADJ	7	amod
9	,	PUNCT	10	punct
10	tal	PRON	2	obl
11	como	PRON	12	obl
12	hiciera	VERB	10	acl
13	en	ADP	16	case
14	los	DET	16	det
15	últimos	ADJ	16	amod
16	comicios	NOUN	12	obl
17	,	PUNCT	10	punct
18	una	DET	19	det
19	fórmula	NOUN	2	obj
20	de	ADP	21	case
21	soberanía	NOUN	19	nmod
22	compartida	ADJ	21	amod
23	entre	ADP	24	case
24	España	PROPN	22	obl
25	y	CCONJ	27	cc
26	el	DET	27	det
27	Reino	PROPN	24	conj
28	Unido	PROPN	27	flat
29	.	PUNCT	2	punct