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:
Finalmente decidieron pernoctar en la ciudad de Zahedan por encontrarse muy cansados, según informó Juan Carlos Gafo, consejero de la Embajada de España en Teherán.
Postion	Tokenization
1	Finalmente
2	decidieron
3	pernoctar
4	en
5	la
6	ciudad
7	de
8	Zahedan
9	por
10	encontrarse
11	encontrar
12	se
13	muy
14	cansados
15	,
16	según
17	informó
18	Juan
19	Carlos
20	Gafo
21	,
22	consejero
23	de
24	la
25	Embajada
26	de
27	España
28	en
29	Teherán
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Finalmente	ADV	2	advmod
2	decidieron	VERB	0	root
3	pernoctar	VERB	2	xcomp
4	en	ADP	6	case
5	la	DET	6	det
6	ciudad	NOUN	3	obl
7	de	ADP	8	case
8	Zahedan	PROPN	6	nmod
9	por	ADP	13	case
10	encontrarse	_	None	_
11	encontrar	VERB	2	obl
12	se	PRON	10	expl:pv
13	muy	ADV	10	advmod
14	cansados	ADJ	10	xcomp
15	,	PUNCT	16	punct
16	según	SCONJ	16	mark
17	informó	VERB	2	advcl
18	Juan	PROPN	16	nsubj
19	Carlos	PROPN	17	flat
20	Gafo	PROPN	17	flat
21	,	PUNCT	21	punct
22	consejero	NOUN	17	appos
23	de	ADP	24	case
24	la	DET	24	det
25	Embajada	PROPN	21	nmod
26	de	ADP	26	case
27	España	PROPN	24	flat
28	en	ADP	28	case
29	Teherán	PROPN	24	nmod
30	.	PUNCT	2	punct