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:
El portavoz del Gobierno español, Pío Cabanillas, explicó ayer, tras el Consejo de Ministros, que sin la aplicación del plan que propone la SEPI "poco se puede pensar en el futuro de la empresa".
Postion	Tokenization
1	El
2	portavoz
3	del
4	Gobierno
5	español
6	,
7	Pío
8	Cabanillas
9	,
10	explicó
11	ayer
12	,
13	tras
14	el
15	Consejo
16	de
17	Ministros
18	,
19	que
20	sin
21	la
22	aplicación
23	del
24	plan
25	que
26	propone
27	la
28	SEPI
29	"
30	poco
31	se
32	puede
33	pensar
34	en
35	el
36	futuro
37	de
38	la
39	empresa
40	"
41	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	portavoz	NOUN	10	nsubj
3	del	ADP	4	case
4	Gobierno	PROPN	2	nmod
5	español	ADJ	4	amod
6	,	PUNCT	7	punct
7	Pío	PROPN	2	appos
8	Cabanillas	PROPN	7	flat
9	,	PUNCT	7	punct
10	explicó	VERB	0	root
11	ayer	ADV	10	advmod
12	,	PUNCT	15	punct
13	tras	ADP	15	case
14	el	DET	15	det
15	Consejo	PROPN	11	obl
16	de	ADP	17	case
17	Ministros	PROPN	15	flat
18	,	PUNCT	15	punct
19	que	SCONJ	33	mark
20	sin	ADP	22	case
21	la	DET	22	det
22	aplicación	NOUN	33	obl
23	del	ADP	24	case
24	plan	NOUN	22	nmod
25	que	PRON	26	obj
26	propone	VERB	24	acl
27	la	DET	28	det
28	SEPI	PROPN	26	nsubj
29	"	PUNCT	33	punct
30	poco	ADV	33	advmod
31	se	PRON	33	expl:impers
32	puede	AUX	33	aux
33	pensar	VERB	10	xcomp
34	en	ADP	36	case
35	el	DET	36	det
36	futuro	NOUN	33	obj
37	de	ADP	39	case
38	la	DET	39	det
39	empresa	NOUN	36	nmod
40	"	PUNCT	33	punct
41	.	PUNCT	10	punct