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:
Las entidades sociales piden que el periodo se alargue a un mínimo de tres meses y un máximo de seis porque consideran que el tiempo previsto "es muy poco para la cantidad de documentación y trámites que hay que realizar", según Abdelhamid Beyuki, presidente de la Asociación de Trabajadores Inmigrantes Marroquís en España (ATIME).
Postion	Tokenization
1	Las
2	entidades
3	sociales
4	piden
5	que
6	el
7	periodo
8	se
9	alargue
10	a
11	un
12	mínimo
13	de
14	tres
15	meses
16	y
17	un
18	máximo
19	de
20	seis
21	porque
22	consideran
23	que
24	el
25	tiempo
26	previsto
27	"
28	es
29	muy
30	poco
31	para
32	la
33	cantidad
34	de
35	documentación
36	y
37	trámites
38	que
39	hay
40	que
41	realizar
42	"
43	,
44	según
45	Abdelhamid
46	Beyuki
47	,
48	presidente
49	de
50	la
51	Asociación
52	de
53	Trabajadores
54	Inmigrantes
55	Marroquís
56	en
57	España
58	(
59	ATIME
60	)
61	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	entidades	NOUN	4	nsubj
3	sociales	ADJ	2	amod
4	piden	VERB	0	root
5	que	SCONJ	9	mark
6	el	DET	7	det
7	periodo	NOUN	9	nsubj:pass
8	se	PRON	9	expl:pass
9	alargue	VERB	4	ccomp
10	a	ADP	15	case
11	un	DET	15	det
12	mínimo	ADJ	11	amod
13	de	ADP	11	case
14	tres	NUM	11	nummod
15	meses	NOUN	9	obl
16	y	CCONJ	18	cc
17	un	DET	18	det
18	máximo	ADJ	15	conj
19	de	ADP	20	case
20	seis	NUM	18	nummod
21	porque	SCONJ	22	mark
22	consideran	VERB	9	advcl
23	que	SCONJ	30	mark
24	el	DET	25	det
25	tiempo	NOUN	30	nsubj
26	previsto	ADJ	25	amod
27	"	PUNCT	30	punct
28	es	AUX	30	cop
29	muy	ADV	30	advmod
30	poco	ADV	22	ccomp
31	para	ADP	33	case
32	la	DET	33	det
33	cantidad	NOUN	30	obl
34	de	ADP	35	case
35	documentación	NOUN	33	nmod
36	y	CCONJ	37	cc
37	trámites	NOUN	35	conj
38	que	PRON	41	obj
39	hay	AUX	37	acl
40	que	SCONJ	41	cc
41	realizar	VERB	39	conj
42	"	PUNCT	30	punct
43	,	PUNCT	45	punct
44	según	ADP	45	case
45	Abdelhamid	PROPN	4	obl
46	Beyuki	PROPN	45	flat
47	,	PUNCT	48	punct
48	presidente	NOUN	45	appos
49	de	ADP	51	case
50	la	DET	51	det
51	Asociación	PROPN	48	nmod
52	de	ADP	53	case
53	Trabajadores	PROPN	51	flat
54	Inmigrantes	PROPN	53	flat
55	Marroquís	PROPN	53	flat
56	en	ADP	57	case
57	España	PROPN	53	flat
58	(	PUNCT	59	punct
59	ATIME	PROPN	51	flat
60	)	PUNCT	59	punct
61	.	PUNCT	4	punct