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:
Según estos datos, difundidos hoy por la agencia oficial iraní de noticias, IRNA, el ex presidente del país, Ali Akbar Hashemi Rafsanyani, que se presentaba como independiente, aunque al frente de las listas conservadoras, entrará a duras penas en el Parlamento, tras quedar en el puesto 29 de los candidatos elegidos.
Postion	Tokenization
1	Según
2	estos
3	datos
4	,
5	difundidos
6	hoy
7	por
8	la
9	agencia
10	oficial
11	iraní
12	de
13	noticias
14	,
15	IRNA
16	,
17	el
18	ex
19	presidente
20	del
21	país
22	,
23	Ali
24	Akbar
25	Hashemi
26	Rafsanyani
27	,
28	que
29	se
30	presentaba
31	como
32	independiente
33	,
34	aunque
35	al
36	frente
37	de
38	las
39	listas
40	conservadoras
41	,
42	entrará
43	a
44	duras
45	penas
46	en
47	el
48	Parlamento
49	,
50	tras
51	quedar
52	en
53	el
54	puesto
55	29
56	de
57	los
58	candidatos
59	elegidos
60	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	estos	DET	3	det
3	datos	NOUN	42	obl
4	,	PUNCT	5	punct
5	difundidos	ADJ	3	amod
6	hoy	ADV	5	advmod
7	por	ADP	9	case
8	la	DET	9	det
9	agencia	NOUN	5	obj
10	oficial	ADJ	9	amod
11	iraní	ADJ	9	amod
12	de	ADP	13	case
13	noticias	NOUN	9	nmod
14	,	PUNCT	15	punct
15	IRNA	PROPN	9	appos
16	,	PUNCT	3	punct
17	el	DET	19	det
18	ex	ADJ	19	amod
19	presidente	NOUN	42	nsubj
20	del	ADP	21	case
21	país	NOUN	19	nmod
22	,	PUNCT	23	punct
23	Ali	PROPN	19	appos
24	Akbar	PROPN	23	flat
25	Hashemi	PROPN	23	flat
26	Rafsanyani	PROPN	23	flat
27	,	PUNCT	23	punct
28	que	PRON	30	nsubj
29	se	PRON	30	obj
30	presentaba	VERB	19	acl
31	como	SCONJ	32	mark
32	independiente	NOUN	30	obj
33	,	PUNCT	39	punct
34	aunque	SCONJ	39	mark
35	al	ADP	39	case
36	frente	NOUN	35	fixed
37	de	ADP	35	fixed
38	las	DET	39	det
39	listas	NOUN	30	obl
40	conservadoras	ADJ	39	amod
41	,	PUNCT	39	punct
42	entrará	VERB	0	root
43	a	ADP	42	advmod
44	duras	NOUN	43	fixed
45	penas	NOUN	43	fixed
46	en	ADP	48	case
47	el	DET	48	det
48	Parlamento	PROPN	42	obl
49	,	PUNCT	51	punct
50	tras	ADP	51	mark
51	quedar	VERB	42	advcl
52	en	ADP	54	case
53	el	DET	54	det
54	puesto	NOUN	51	obl
55	29	NUM	54	nummod
56	de	ADP	58	case
57	los	DET	58	det
58	candidatos	NOUN	54	nmod
59	elegidos	ADJ	58	amod
60	.	PUNCT	42	punct