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 el centro del campo, el doble pivote lo formaron Amor y Diego Cagna, mientras que las bandas serán para Jorge López y Javier Calleja.
Postion	Tokenization
1	En
2	el
3	centro
4	del
5	campo
6	,
7	el
8	doble
9	pivote
10	lo
11	formaron
12	Amor
13	y
14	Diego
15	Cagna
16	,
17	mientras
18	que
19	las
20	bandas
21	serán
22	para
23	Jorge
24	López
25	y
26	Javier
27	Calleja
28	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	centro	NOUN	11	obl
4	del	ADP	5	case
5	campo	NOUN	3	nmod
6	,	PUNCT	3	punct
7	el	DET	9	det
8	doble	ADJ	9	amod
9	pivote	NOUN	11	iobj
10	lo	PRON	11	obj
11	formaron	VERB	17	parataxis
12	Amor	PROPN	11	nsubj
13	y	CCONJ	14	cc
14	Diego	PROPN	12	conj
15	Cagna	PROPN	14	flat
16	,	PUNCT	17	punct
17	mientras	CCONJ	0	root
18	que	SCONJ	17	fixed
19	las	DET	20	det
20	bandas	NOUN	23	nsubj
21	serán	AUX	23	cop
22	para	ADP	23	case
23	Jorge	PROPN	17	parataxis
24	López	PROPN	23	flat
25	y	CCONJ	26	cc
26	Javier	PROPN	23	conj
27	Calleja	PROPN	26	flat
28	.	PUNCT	17	punct