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:
Lo único que tiene lógica es que reciben consignas de arriba, más allá de la propia Federación Española de Fútbol ", manifestó Álvaro Ruiz-Mateos.
Postion	Tokenization
1	Lo
2	único
3	que
4	tiene
5	lógica
6	es
7	que
8	reciben
9	consignas
10	de
11	arriba
12	,
13	más
14	allá
15	de
16	la
17	propia
18	Federación
19	Española
20	de
21	Fútbol
22	"
23	,
24	manifestó
25	Álvaro
26	Ruiz-Mateos
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	4	det
2	único	ADJ	4	amod
3	que	PRON	4	nsubj
4	tiene	VERB	6	csubj
5	lógica	NOUN	4	obj
6	es	AUX	24	ccomp
7	que	SCONJ	8	mark
8	reciben	VERB	6	ccomp
9	consignas	NOUN	8	obj
10	de	ADP	11	case
11	arriba	ADV	8	advmod
12	,	PUNCT	14	punct
13	más	ADV	14	advmod
14	allá	ADV	11	advmod
15	de	ADP	18	case
16	la	DET	18	det
17	propia	ADJ	18	amod
18	Federación	PROPN	14	obl
19	Española	PROPN	18	flat
20	de	ADP	21	case
21	Fútbol	PROPN	18	flat
22	"	PUNCT	6	punct
23	,	PUNCT	6	punct
24	manifestó	VERB	0	root
25	Álvaro	PROPN	24	nsubj
26	Ruiz-Mateos	PROPN	25	flat
27	.	PUNCT	24	punct