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, anunció que respalda al alcalde de San Fernando (Cádiz), el andalucista Antonio Moreno, para que continúe como presidente de la Mancomunidad de Municipios de la Bahía de Cádiz, a pesar de las diferencias políticas que ha tenido con él en los últimos tiempos.
Postion	Tokenization
1	Por
2	otra
3	parte
4	,
5	anunció
6	que
7	respalda
8	al
9	alcalde
10	de
11	San
12	Fernando
13	(
14	Cádiz
15	)
16	,
17	el
18	andalucista
19	Antonio
20	Moreno
21	,
22	para
23	que
24	continúe
25	como
26	presidente
27	de
28	la
29	Mancomunidad
30	de
31	Municipios
32	de
33	la
34	Bahía
35	de
36	Cádiz
37	,
38	a
39	pesar
40	de
41	las
42	diferencias
43	políticas
44	que
45	ha
46	tenido
47	con
48	él
49	en
50	los
51	últimos
52	tiempos
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	5	advmod
2	otra	NOUN	1	fixed
3	parte	NOUN	1	fixed
4	,	PUNCT	1	punct
5	anunció	VERB	0	root
6	que	SCONJ	7	mark
7	respalda	VERB	5	ccomp
8	al	ADP	9	case
9	alcalde	NOUN	7	obj
10	de	ADP	11	case
11	San	PROPN	9	nmod
12	Fernando	PROPN	11	flat
13	(	PUNCT	14	punct
14	Cádiz	PROPN	11	flat
15	)	PUNCT	14	punct
16	,	PUNCT	18	punct
17	el	DET	18	det
18	andalucista	NOUN	9	appos
19	Antonio	PROPN	18	appos
20	Moreno	PROPN	19	flat
21	,	PUNCT	18	punct
22	para	ADP	24	mark
23	que	SCONJ	24	mark
24	continúe	VERB	7	advcl
25	como	SCONJ	26	mark
26	presidente	NOUN	24	obj
27	de	ADP	29	case
28	la	DET	29	det
29	Mancomunidad	PROPN	26	nmod
30	de	ADP	31	case
31	Municipios	PROPN	29	flat
32	de	ADP	34	case
33	la	DET	34	det
34	Bahía	PROPN	29	flat
35	de	ADP	36	case
36	Cádiz	PROPN	29	flat
37	,	PUNCT	42	punct
38	a	ADP	42	case
39	pesar	NOUN	38	fixed
40	de	ADP	38	fixed
41	las	DET	42	det
42	diferencias	NOUN	24	obl
43	políticas	ADJ	42	amod
44	que	PRON	46	obj
45	ha	AUX	46	aux
46	tenido	VERB	42	acl
47	con	ADP	48	case
48	él	PRON	46	obl
49	en	ADP	52	case
50	los	DET	52	det
51	últimos	ADJ	52	amod
52	tiempos	NOUN	46	obl
53	.	PUNCT	5	punct