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, Fraga se refirió a la intervención del portavoz del BNG en el Congreso, Francisco Rodríguez, en el debate de investidura de José María Aznar.
Postion	Tokenization
1	Por
2	otra
3	parte
4	,
5	Fraga
6	se
7	refirió
8	a
9	la
10	intervención
11	del
12	portavoz
13	del
14	BNG
15	en
16	el
17	Congreso
18	,
19	Francisco
20	Rodríguez
21	,
22	en
23	el
24	debate
25	de
26	investidura
27	de
28	José
29	María
30	Aznar
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	3	case
2	otra	DET	3	det
3	parte	NOUN	7	obl
4	,	PUNCT	3	punct
5	Fraga	PROPN	7	nsubj
6	se	PRON	7	expl:pv
7	refirió	VERB	0	root
8	a	ADP	10	case
9	la	DET	10	det
10	intervención	NOUN	7	obj
11	del	ADP	12	case
12	portavoz	NOUN	10	nmod
13	del	ADP	14	case
14	BNG	PROPN	12	nmod
15	en	ADP	17	case
16	el	DET	17	det
17	Congreso	PROPN	12	nmod
18	,	PUNCT	19	punct
19	Francisco	PROPN	12	appos
20	Rodríguez	PROPN	19	flat
21	,	PUNCT	19	punct
22	en	ADP	24	case
23	el	DET	24	det
24	debate	NOUN	10	nmod
25	de	ADP	26	case
26	investidura	NOUN	24	nmod
27	de	ADP	28	case
28	José	PROPN	24	nmod
29	María	PROPN	28	flat
30	Aznar	PROPN	28	flat
31	.	PUNCT	7	punct