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 Sepu, mientras tanto, apura sus últimos días en la Rambla con descuentos del 20% sobre precios ya rebajados y afronta su cambio de ubicación en Barcelona como una estrategia que le permita renacer.
Postion	Tokenization
1	El
2	Sepu
3	,
4	mientras
5	tanto
6	,
7	apura
8	sus
9	últimos
10	días
11	en
12	la
13	Rambla
14	con
15	descuentos
16	del
17	20%
18	sobre
19	precios
20	ya
21	rebajados
22	y
23	afronta
24	su
25	cambio
26	de
27	ubicación
28	en
29	Barcelona
30	como
31	una
32	estrategia
33	que
34	le
35	permita
36	renacer
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Sepu	PROPN	7	nsubj
3	,	PUNCT	4	punct
4	mientras	CCONJ	7	advmod
5	tanto	NOUN	4	fixed
6	,	PUNCT	4	punct
7	apura	VERB	0	root
8	sus	DET	10	det
9	últimos	ADJ	10	amod
10	días	NOUN	7	obj
11	en	ADP	13	case
12	la	DET	13	det
13	Rambla	PROPN	10	nmod
14	con	ADP	15	case
15	descuentos	NOUN	7	obl
16	del	ADP	17	case
17	20%	SYM	15	nmod
18	sobre	ADP	19	case
19	precios	NOUN	15	nmod
20	ya	ADV	21	advmod
21	rebajados	ADJ	19	amod
22	y	CCONJ	23	cc
23	afronta	VERB	7	conj
24	su	DET	25	det
25	cambio	NOUN	23	obj
26	de	ADP	27	case
27	ubicación	NOUN	25	nmod
28	en	ADP	29	case
29	Barcelona	PROPN	27	nmod
30	como	SCONJ	32	mark
31	una	DET	32	det
32	estrategia	NOUN	23	obl
33	que	PRON	35	nsubj
34	le	PRON	35	iobj
35	permita	VERB	32	acl
36	renacer	VERB	35	xcomp
37	.	PUNCT	7	punct