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:
Los grandes almacenes Sepu (Sociedad Española de Precios Unicos) pondrán fin el próximo día 16 a 65 años de historia en el número 120 de la Rambla, pero renacerán a partir de octubre, en una nueva estrategia comercial de la empresa, en diversos locales de tamaño más modesto repartidos por distintos puntos de la ciudad.
Postion	Tokenization
1	Los
2	grandes
3	almacenes
4	Sepu
5	(
6	Sociedad
7	Española
8	de
9	Precios
10	Unicos
11	)
12	pondrán
13	fin
14	el
15	próximo
16	día
17	16
18	a
19	65
20	años
21	de
22	historia
23	en
24	el
25	número
26	120
27	de
28	la
29	Rambla
30	,
31	pero
32	renacerán
33	a
34	partir
35	de
36	octubre
37	,
38	en
39	una
40	nueva
41	estrategia
42	comercial
43	de
44	la
45	empresa
46	,
47	en
48	diversos
49	locales
50	de
51	tamaño
52	más
53	modesto
54	repartidos
55	por
56	distintos
57	puntos
58	de
59	la
60	ciudad
61	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	grandes	ADJ	3	amod
3	almacenes	NOUN	12	nsubj
4	Sepu	PROPN	3	appos
5	(	PUNCT	6	punct
6	Sociedad	PROPN	3	appos
7	Española	PROPN	6	flat
8	de	ADP	9	case
9	Precios	PROPN	6	flat
10	Unicos	PROPN	6	flat
11	)	PUNCT	6	punct
12	pondrán	VERB	0	root
13	fin	NOUN	12	compound
14	el	DET	16	det
15	próximo	ADJ	16	amod
16	día	NOUN	12	obl
17	16	NUM	16	compound
18	a	ADP	20	case
19	65	NUM	20	nummod
20	años	NOUN	12	obj
21	de	ADP	22	case
22	historia	NOUN	20	nmod
23	en	ADP	25	case
24	el	DET	25	det
25	número	NOUN	20	nmod
26	120	NUM	25	appos
27	de	ADP	29	case
28	la	DET	29	det
29	Rambla	PROPN	25	nmod
30	,	PUNCT	32	punct
31	pero	CCONJ	32	cc
32	renacerán	VERB	12	conj
33	a	ADP	36	case
34	partir	NOUN	33	fixed
35	de	ADP	33	fixed
36	octubre	NOUN	32	obl
37	,	PUNCT	41	punct
38	en	ADP	41	case
39	una	DET	41	det
40	nueva	ADJ	41	amod
41	estrategia	NOUN	32	obl
42	comercial	ADJ	41	amod
43	de	ADP	45	case
44	la	DET	45	det
45	empresa	NOUN	41	nmod
46	,	PUNCT	49	punct
47	en	ADP	49	case
48	diversos	DET	49	det
49	locales	NOUN	32	obl
50	de	ADP	51	case
51	tamaño	NOUN	49	nmod
52	más	ADV	53	advmod
53	modesto	ADJ	51	amod
54	repartidos	ADJ	49	amod
55	por	ADP	57	case
56	distintos	DET	57	det
57	puntos	NOUN	54	obl
58	de	ADP	60	case
59	la	DET	60	det
60	ciudad	NOUN	57	nmod
61	.	PUNCT	12	punct