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:
Según Sevilla, ha quedado demostrado que "otros gobiernos europeos tienen mucha más sensibilidad y cintura política en este asunto".
Postion	Tokenization
1	Según
2	Sevilla
3	,
4	ha
5	quedado
6	demostrado
7	que
8	"
9	otros
10	gobiernos
11	europeos
12	tienen
13	mucha
14	más
15	sensibilidad
16	y
17	cintura
18	política
19	en
20	este
21	asunto
22	"
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	Sevilla	PROPN	5	obl
3	,	PUNCT	2	punct
4	ha	AUX	5	aux
5	quedado	VERB	0	root
6	demostrado	ADJ	5	obj
7	que	SCONJ	12	mark
8	"	PUNCT	12	punct
9	otros	DET	10	det
10	gobiernos	NOUN	12	nsubj
11	europeos	ADJ	10	amod
12	tienen	VERB	5	csubj
13	mucha	DET	15	det
14	más	ADV	13	advmod
15	sensibilidad	NOUN	12	obj
16	y	CCONJ	17	cc
17	cintura	NOUN	15	conj
18	política	ADJ	17	amod
19	en	ADP	21	case
20	este	DET	21	det
21	asunto	NOUN	12	obl
22	"	PUNCT	12	punct
23	.	PUNCT	5	punct