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 programa radiofónico también abordará el tema de los inmigrantes en huelga de hambre en Barcelona, con una entrevista (10.05) al rector de la parroquia de Santa Maria del Pi, Josep Maria Vidal.
Postion	Tokenization
1	El
2	programa
3	radiofónico
4	también
5	abordará
6	el
7	tema
8	de
9	los
10	inmigrantes
11	en
12	huelga
13	de
14	hambre
15	en
16	Barcelona
17	,
18	con
19	una
20	entrevista
21	(
22	10.05
23	)
24	al
25	rector
26	de
27	la
28	parroquia
29	de
30	Santa
31	Maria
32	del
33	Pi
34	,
35	Josep
36	Maria
37	Vidal
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	programa	NOUN	5	nsubj
3	radiofónico	ADJ	2	amod
4	también	ADV	5	advmod
5	abordará	VERB	0	root
6	el	DET	7	det
7	tema	NOUN	5	obj
8	de	ADP	10	case
9	los	DET	10	det
10	inmigrantes	NOUN	7	nmod
11	en	ADP	12	case
12	huelga	NOUN	10	nmod
13	de	ADP	14	case
14	hambre	NOUN	12	nmod
15	en	ADP	16	case
16	Barcelona	PROPN	10	nmod
17	,	PUNCT	20	punct
18	con	ADP	20	case
19	una	DET	20	det
20	entrevista	NOUN	5	obl
21	(	PUNCT	22	punct
22	10.05	NOUN	5	dep
23	)	PUNCT	22	punct
24	al	ADP	25	case
25	rector	NOUN	5	obj
26	de	ADP	28	case
27	la	DET	28	det
28	parroquia	NOUN	25	nmod
29	de	ADP	30	case
30	Santa	PROPN	28	nmod
31	Maria	PROPN	30	flat
32	del	ADP	33	case
33	Pi	PROPN	30	flat
34	,	PUNCT	35	punct
35	Josep	PROPN	25	appos
36	Maria	PROPN	35	flat
37	Vidal	PROPN	35	flat
38	.	PUNCT	5	punct