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 señaló a Efe Iker Echevarría, alumno de quinto curso, su conversación con el Príncipe, que se interesó por sus estudios, se desarrolló en un ambiente sumamente distendido, con mucha participación y muchas preguntas por parte de los estudiantes.
Postion	Tokenization
1	Según
2	señaló
3	a
4	Efe
5	Iker
6	Echevarría
7	,
8	alumno
9	de
10	quinto
11	curso
12	,
13	su
14	conversación
15	con
16	el
17	Príncipe
18	,
19	que
20	se
21	interesó
22	por
23	sus
24	estudios
25	,
26	se
27	desarrolló
28	en
29	un
30	ambiente
31	sumamente
32	distendido
33	,
34	con
35	mucha
36	participación
37	y
38	muchas
39	preguntas
40	por
41	parte
42	de
43	los
44	estudiantes
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	SCONJ	2	mark
2	señaló	VERB	27	advcl
3	a	ADP	4	case
4	Efe	PROPN	2	obj
5	Iker	PROPN	2	nsubj
6	Echevarría	PROPN	5	flat
7	,	PUNCT	8	punct
8	alumno	NOUN	5	appos
9	de	ADP	11	case
10	quinto	ADJ	11	amod
11	curso	NOUN	8	nmod
12	,	PUNCT	8	punct
13	su	DET	14	det
14	conversación	NOUN	27	nsubj
15	con	ADP	17	case
16	el	DET	17	det
17	Príncipe	PROPN	14	nmod
18	,	PUNCT	21	punct
19	que	PRON	21	nsubj
20	se	PRON	21	expl:pv
21	interesó	VERB	17	acl
22	por	ADP	24	case
23	sus	DET	24	det
24	estudios	NOUN	21	obj
25	,	PUNCT	21	punct
26	se	PRON	27	expl:pv
27	desarrolló	VERB	0	root
28	en	ADP	30	case
29	un	DET	30	det
30	ambiente	NOUN	27	obl
31	sumamente	ADV	32	advmod
32	distendido	ADJ	30	amod
33	,	PUNCT	32	punct
34	con	ADP	36	case
35	mucha	DET	36	det
36	participación	NOUN	32	nmod
37	y	CCONJ	39	cc
38	muchas	DET	39	det
39	preguntas	NOUN	36	conj
40	por	ADP	44	case
41	parte	NOUN	40	fixed
42	de	ADP	40	fixed
43	los	DET	44	det
44	estudiantes	NOUN	39	nmod
45	.	PUNCT	27	punct