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:
En Teherán no habrá segunda vuelta electoral, pues 32 candidatos, dos más de los necesarios, han conseguido más del 25 por ciento de los votos requeridos para ser designados en la primera ronda, según el sistema de listas abiertas que se utiliza en Irán.
Postion	Tokenization
1	En
2	Teherán
3	no
4	habrá
5	segunda
6	vuelta
7	electoral
8	,
9	pues
10	32
11	candidatos
12	,
13	dos
14	más
15	de
16	los
17	necesarios
18	,
19	han
20	conseguido
21	más
22	del
23	25
24	por
25	ciento
26	de
27	los
28	votos
29	requeridos
30	para
31	ser
32	designados
33	en
34	la
35	primera
36	ronda
37	,
38	según
39	el
40	sistema
41	de
42	listas
43	abiertas
44	que
45	se
46	utiliza
47	en
48	Irán
49	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	Teherán	PROPN	4	obl
3	no	ADV	4	advmod
4	habrá	AUX	0	root
5	segunda	ADJ	6	amod
6	vuelta	NOUN	4	obj
7	electoral	ADJ	6	amod
8	,	PUNCT	20	punct
9	pues	SCONJ	20	mark
10	32	NUM	11	nummod
11	candidatos	NOUN	20	nsubj
12	,	PUNCT	13	punct
13	dos	NUM	11	appos
14	más	ADV	13	advmod
15	de	ADP	17	case
16	los	DET	17	det
17	necesarios	ADJ	13	amod
18	,	PUNCT	13	punct
19	han	AUX	20	aux
20	conseguido	VERB	4	advcl
21	más	ADV	23	advmod
22	del	ADP	21	case
23	25	NUM	20	obj
24	por	ADP	25	case
25	ciento	NUM	23	compound
26	de	ADP	28	case
27	los	DET	28	det
28	votos	NOUN	23	nmod
29	requeridos	ADJ	28	amod
30	para	ADP	32	mark
31	ser	AUX	32	aux
32	designados	VERB	29	advcl
33	en	ADP	36	case
34	la	DET	36	det
35	primera	ADJ	36	amod
36	ronda	NOUN	32	obl
37	,	PUNCT	40	punct
38	según	ADP	40	case
39	el	DET	40	det
40	sistema	NOUN	20	obl
41	de	ADP	42	case
42	listas	NOUN	40	nmod
43	abiertas	ADJ	42	amod
44	que	PRON	46	nsubj
45	se	PRON	46	expl:pass
46	utiliza	VERB	40	acl
47	en	ADP	48	case
48	Irán	PROPN	46	obl
49	.	PUNCT	4	punct