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:
La nación española comienza en Cervere (can Cerbero de las tres cabezas) y acaba diagonalmente en la laguna de Acherón (Huelva) con el Caronte de la Estigia.
Postion	Tokenization
1	La
2	nación
3	española
4	comienza
5	en
6	Cervere
7	(
8	can
9	Cerbero
10	de
11	las
12	tres
13	cabezas
14	)
15	y
16	acaba
17	diagonalmente
18	en
19	la
20	laguna
21	de
22	Acherón
23	(
24	Huelva
25	)
26	con
27	el
28	Caronte
29	de
30	la
31	Estigia
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	nación	NOUN	4	nsubj
3	española	ADJ	2	amod
4	comienza	VERB	0	root
5	en	ADP	6	case
6	Cervere	PROPN	4	obl
7	(	PUNCT	8	punct
8	can	PROPN	6	flat
9	Cerbero	PROPN	8	flat
10	de	ADP	12	case
11	las	DET	12	det
12	tres	NUM	8	nummod
13	cabezas	PROPN	8	flat
14	)	PUNCT	8	punct
15	y	CCONJ	16	cc
16	acaba	VERB	4	conj
17	diagonalmente	ADV	16	advmod
18	en	ADP	20	case
19	la	DET	20	det
20	laguna	NOUN	16	obl
21	de	ADP	22	case
22	Acherón	PROPN	20	nmod
23	(	PUNCT	24	punct
24	Huelva	PROPN	22	flat
25	)	PUNCT	24	punct
26	con	ADP	28	case
27	el	DET	28	det
28	Caronte	PROPN	16	obl
29	de	ADP	31	case
30	la	DET	31	det
31	Estigia	PROPN	28	flat
32	.	PUNCT	4	punct