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:
A diferencia de la estrategia marcada por Josep Piqué, considera que los populares deben aspirar a crecer compitiendo por el electorado socialista más que captando votantes nacionalistas.
Postion	Tokenization
1	A
2	diferencia
3	de
4	la
5	estrategia
6	marcada
7	por
8	Josep
9	Piqué
10	,
11	considera
12	que
13	los
14	populares
15	deben
16	aspirar
17	a
18	crecer
19	compitiendo
20	por
21	el
22	electorado
23	socialista
24	más
25	que
26	captando
27	votantes
28	nacionalistas
29	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	5	case
2	diferencia	NOUN	1	fixed
3	de	ADP	1	fixed
4	la	DET	5	det
5	estrategia	NOUN	11	obl
6	marcada	ADJ	5	amod
7	por	ADP	8	case
8	Josep	PROPN	6	obj
9	Piqué	PROPN	8	flat
10	,	PUNCT	5	punct
11	considera	VERB	0	root
12	que	SCONJ	16	mark
13	los	DET	14	det
14	populares	NOUN	16	nsubj
15	deben	AUX	16	aux
16	aspirar	VERB	11	xcomp
17	a	ADP	18	mark
18	crecer	VERB	16	ccomp
19	compitiendo	VERB	18	xcomp
20	por	ADP	22	case
21	el	DET	22	det
22	electorado	NOUN	18	obl
23	socialista	ADJ	22	amod
24	más	ADV	18	advmod
25	que	SCONJ	26	mark
26	captando	VERB	24	advcl
27	votantes	NOUN	26	obj
28	nacionalistas	ADJ	27	amod
29	.	PUNCT	11	punct