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:
España es un país de oradores fúnebres que acumulan los elogios sobre el muerto seguros de que no los oye y sobre todo de que no va a resucitar.
Postion	Tokenization
1	España
2	es
3	un
4	país
5	de
6	oradores
7	fúnebres
8	que
9	acumulan
10	los
11	elogios
12	sobre
13	el
14	muerto
15	seguros
16	de
17	que
18	no
19	los
20	oye
21	y
22	sobre
23	todo
24	de
25	que
26	no
27	va
28	a
29	resucitar
30	.
Position	Tokenization	UPOS	Head	Deprel
1	España	PROPN	4	nsubj
2	es	AUX	4	cop
3	un	DET	4	det
4	país	NOUN	0	root
5	de	ADP	6	case
6	oradores	NOUN	4	nmod
7	fúnebres	ADJ	6	amod
8	que	PRON	9	nsubj
9	acumulan	VERB	6	acl
10	los	DET	11	det
11	elogios	NOUN	9	obj
12	sobre	ADP	14	case
13	el	DET	14	det
14	muerto	NOUN	11	nmod
15	seguros	ADJ	9	obj
16	de	ADP	20	mark
17	que	SCONJ	20	mark
18	no	ADV	20	advmod
19	los	PRON	20	obj
20	oye	VERB	15	acl
21	y	CCONJ	22	cc
22	sobre	ADP	20	conj
23	todo	PRON	22	fixed
24	de	ADP	22	case
25	que	SCONJ	29	mark
26	no	ADV	29	advmod
27	va	AUX	29	aux
28	a	ADP	29	mark
29	resucitar	VERB	22	acl
30	.	PUNCT	4	punct