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 miembros de la Diputación Permanente, órgano encargado de velar por los poderes de la Cámara en los períodos entre Legislaturas, deberán analizar las medidas aprobadas por el Gobierno y que, según el ministro de Trabajo y Asuntos Sociales, Manuel Pimentel, beneficiarán a casi 835.000 personas.
Postion	Tokenization
1	Los
2	miembros
3	de
4	la
5	Diputación
6	Permanente
7	,
8	órgano
9	encargado
10	de
11	velar
12	por
13	los
14	poderes
15	de
16	la
17	Cámara
18	en
19	los
20	períodos
21	entre
22	Legislaturas
23	,
24	deberán
25	analizar
26	las
27	medidas
28	aprobadas
29	por
30	el
31	Gobierno
32	y
33	que
34	,
35	según
36	el
37	ministro
38	de
39	Trabajo
40	y
41	Asuntos
42	Sociales
43	,
44	Manuel
45	Pimentel
46	,
47	beneficiarán
48	a
49	casi
50	835.000
51	personas
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	miembros	NOUN	25	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Diputación	PROPN	2	nmod
6	Permanente	PROPN	5	flat
7	,	PUNCT	8	punct
8	órgano	NOUN	5	appos
9	encargado	ADJ	8	amod
10	de	ADP	11	mark
11	velar	VERB	9	xcomp
12	por	ADP	14	case
13	los	DET	14	det
14	poderes	NOUN	11	obj
15	de	ADP	17	case
16	la	DET	17	det
17	Cámara	PROPN	14	nmod
18	en	ADP	20	case
19	los	DET	20	det
20	períodos	NOUN	11	obl
21	entre	ADP	22	case
22	Legislaturas	PROPN	20	nmod
23	,	PUNCT	8	punct
24	deberán	AUX	25	aux
25	analizar	VERB	0	root
26	las	DET	27	det
27	medidas	NOUN	25	obj
28	aprobadas	ADJ	27	amod
29	por	ADP	31	case
30	el	DET	31	det
31	Gobierno	PROPN	28	obj
32	y	CCONJ	47	cc
33	que	PRON	47	nsubj
34	,	PUNCT	37	punct
35	según	ADP	37	case
36	el	DET	37	det
37	ministro	NOUN	47	obl
38	de	ADP	39	case
39	Trabajo	PROPN	37	nmod
40	y	CCONJ	41	cc
41	Asuntos	PROPN	39	conj
42	Sociales	PROPN	41	flat
43	,	PUNCT	44	punct
44	Manuel	PROPN	37	appos
45	Pimentel	PROPN	44	flat
46	,	PUNCT	44	punct
47	beneficiarán	VERB	28	conj
48	a	ADP	51	case
49	casi	ADV	51	advmod
50	835.000	NUM	49	nummod
51	personas	NOUN	47	obj
52	.	PUNCT	25	punct