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 diputado riojano expresó su intención de trabajar con el objetivo de "acercar" esta Comisión a los ciudadanos, y abogó por la "pedagogía social" para que la sociedad conozca y entienda la labor que realizan los políticos en las cámaras.
Postion	Tokenization
1	El
2	diputado
3	riojano
4	expresó
5	su
6	intención
7	de
8	trabajar
9	con
10	el
11	objetivo
12	de
13	"
14	acercar
15	"
16	esta
17	Comisión
18	a
19	los
20	ciudadanos
21	,
22	y
23	abogó
24	por
25	la
26	"
27	pedagogía
28	social
29	"
30	para
31	que
32	la
33	sociedad
34	conozca
35	y
36	entienda
37	la
38	labor
39	que
40	realizan
41	los
42	políticos
43	en
44	las
45	cámaras
46	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	diputado	NOUN	4	nsubj
3	riojano	ADJ	2	amod
4	expresó	VERB	0	root
5	su	DET	6	det
6	intención	NOUN	4	obj
7	de	ADP	8	mark
8	trabajar	VERB	6	acl
9	con	ADP	14	mark
10	el	DET	9	fixed
11	objetivo	NOUN	9	fixed
12	de	ADP	9	fixed
13	"	PUNCT	14	punct
14	acercar	VERB	8	advcl
15	"	PUNCT	14	punct
16	esta	DET	17	det
17	Comisión	PROPN	14	obj
18	a	ADP	20	case
19	los	DET	20	det
20	ciudadanos	NOUN	14	obl
21	,	PUNCT	23	punct
22	y	CCONJ	23	cc
23	abogó	VERB	4	conj
24	por	ADP	27	case
25	la	DET	27	det
26	"	PUNCT	27	punct
27	pedagogía	NOUN	23	obj
28	social	ADJ	27	amod
29	"	PUNCT	27	punct
30	para	ADP	34	mark
31	que	SCONJ	34	mark
32	la	DET	33	det
33	sociedad	NOUN	34	nsubj
34	conozca	VERB	23	advcl
35	y	CCONJ	36	cc
36	entienda	VERB	34	conj
37	la	DET	38	det
38	labor	NOUN	34	obj
39	que	PRON	40	obj
40	realizan	VERB	38	acl
41	los	DET	42	det
42	políticos	NOUN	40	nsubj
43	en	ADP	45	case
44	las	DET	45	det
45	cámaras	NOUN	40	obl
46	.	PUNCT	4	punct