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:
Una nueva borrasca cruzará España a partir de hoy y afectará principalmente a Galicia y el oeste de la Península, aunque la mejoría del tiempo generalizado de ayer en la mayor parte del país permitió a Protección Civil retirar todos los avisos de emergencia.
Postion	Tokenization
1	Una
2	nueva
3	borrasca
4	cruzará
5	España
6	a
7	partir
8	de
9	hoy
10	y
11	afectará
12	principalmente
13	a
14	Galicia
15	y
16	el
17	oeste
18	de
19	la
20	Península
21	,
22	aunque
23	la
24	mejoría
25	del
26	tiempo
27	generalizado
28	de
29	ayer
30	en
31	la
32	mayor
33	parte
34	del
35	país
36	permitió
37	a
38	Protección
39	Civil
40	retirar
41	todos
42	los
43	avisos
44	de
45	emergencia
46	.
Position	Tokenization	UPOS	Head	Deprel
1	Una	DET	3	det
2	nueva	ADJ	3	amod
3	borrasca	NOUN	4	nsubj
4	cruzará	VERB	0	root
5	España	PROPN	4	obj
6	a	ADP	9	case
7	partir	NOUN	6	fixed
8	de	ADP	6	fixed
9	hoy	ADV	4	advmod
10	y	CCONJ	11	cc
11	afectará	VERB	4	conj
12	principalmente	ADV	11	obj
13	a	ADP	12	case
14	Galicia	PROPN	12	nmod
15	y	CCONJ	17	cc
16	el	DET	17	det
17	oeste	NOUN	14	conj
18	de	ADP	20	case
19	la	DET	20	det
20	Península	PROPN	17	nmod
21	,	PUNCT	36	punct
22	aunque	SCONJ	36	mark
23	la	DET	24	det
24	mejoría	NOUN	36	nsubj
25	del	ADP	26	case
26	tiempo	NOUN	24	nmod
27	generalizado	ADJ	26	amod
28	de	ADP	29	case
29	ayer	ADV	24	advmod
30	en	ADP	33	case
31	la	DET	33	det
32	mayor	ADJ	33	amod
33	parte	NOUN	24	nmod
34	del	ADP	35	case
35	país	NOUN	33	nmod
36	permitió	VERB	4	advcl
37	a	ADP	38	case
38	Protección	PROPN	36	iobj
39	Civil	PROPN	38	flat
40	retirar	VERB	36	xcomp
41	todos	DET	42	det
42	los	DET	43	det
43	avisos	NOUN	40	obj
44	de	ADP	45	case
45	emergencia	NOUN	43	nmod
46	.	PUNCT	4	punct