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:
Por otra parte, el secretario adjunto del Grupo Parlamentario Socialista en el Congreso y candidato por Badajoz, Francisco Fernández Marugán, reclamó también al portavoz del Gobierno que "cumpla su palabra de hacer públicos sus ingresos por sus declaraciones de renta".
Postion	Tokenization
1	Por
2	otra
3	parte
4	,
5	el
6	secretario
7	adjunto
8	del
9	Grupo
10	Parlamentario
11	Socialista
12	en
13	el
14	Congreso
15	y
16	candidato
17	por
18	Badajoz
19	,
20	Francisco
21	Fernández
22	Marugán
23	,
24	reclamó
25	también
26	al
27	portavoz
28	del
29	Gobierno
30	que
31	"
32	cumpla
33	su
34	palabra
35	de
36	hacer
37	públicos
38	sus
39	ingresos
40	por
41	sus
42	declaraciones
43	de
44	renta
45	"
46	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	24	advmod
2	otra	NOUN	1	fixed
3	parte	NOUN	1	fixed
4	,	PUNCT	1	punct
5	el	DET	6	det
6	secretario	NOUN	24	nsubj
7	adjunto	ADJ	6	amod
8	del	ADP	9	case
9	Grupo	PROPN	6	nmod
10	Parlamentario	PROPN	9	flat
11	Socialista	PROPN	9	flat
12	en	ADP	14	case
13	el	DET	14	det
14	Congreso	PROPN	6	nmod
15	y	CCONJ	16	cc
16	candidato	NOUN	6	conj
17	por	ADP	18	case
18	Badajoz	PROPN	16	nmod
19	,	PUNCT	20	punct
20	Francisco	PROPN	6	appos
21	Fernández	PROPN	20	flat
22	Marugán	PROPN	20	flat
23	,	PUNCT	20	punct
24	reclamó	VERB	0	root
25	también	ADV	24	advmod
26	al	ADP	27	case
27	portavoz	NOUN	24	iobj
28	del	ADP	29	case
29	Gobierno	PROPN	27	nmod
30	que	SCONJ	32	mark
31	"	PUNCT	32	punct
32	cumpla	VERB	24	ccomp
33	su	DET	34	det
34	palabra	NOUN	32	obj
35	de	ADP	36	mark
36	hacer	VERB	34	acl
37	públicos	ADJ	36	obj
38	sus	DET	39	det
39	ingresos	NOUN	36	obj
40	por	ADP	42	case
41	sus	DET	42	det
42	declaraciones	NOUN	39	nmod
43	de	ADP	44	case
44	renta	NOUN	42	nmod
45	"	PUNCT	32	punct
46	.	PUNCT	24	punct