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:
"Este hombre tiene razón en lo que dice. España para los españoles", decía solidario un autoproclamado seguidor del Madrid.
Postion	Tokenization
1	"
2	Este
3	hombre
4	tiene
5	razón
6	en
7	lo
8	que
9	dice
10	.
11	España
12	para
13	los
14	españoles
15	"
16	,
17	decía
18	solidario
19	un
20	autoproclamado
21	seguidor
22	del
23	Madrid
24	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Este	DET	3	det
3	hombre	NOUN	4	nsubj
4	tiene	VERB	17	ccomp
5	razón	NOUN	4	obj
6	en	ADP	9	mark
7	lo	PRON	9	det
8	que	PRON	9	obj
9	dice	VERB	5	acl
10	.	PUNCT	4	punct
11	España	PROPN	4	obl
12	para	ADP	14	case
13	los	DET	14	det
14	españoles	NOUN	11	nmod
15	"	PUNCT	4	punct
16	,	PUNCT	4	punct
17	decía	VERB	0	root
18	solidario	ADJ	17	iobj
19	un	DET	21	det
20	autoproclamado	ADJ	21	amod
21	seguidor	NOUN	17	nsubj
22	del	ADP	23	case
23	Madrid	PROPN	21	nmod
24	.	PUNCT	17	punct