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:
Los estudiantes de Deusto, que han organizado esta visita a Madrid por su propia iniciativa, permanecerán en Madrid hasta el Jueves, visitando otras instituciones del Estado.
Postion	Tokenization
1	Los
2	estudiantes
3	de
4	Deusto
5	,
6	que
7	han
8	organizado
9	esta
10	visita
11	a
12	Madrid
13	por
14	su
15	propia
16	iniciativa
17	,
18	permanecerán
19	en
20	Madrid
21	hasta
22	el
23	Jueves
24	,
25	visitando
26	otras
27	instituciones
28	del
29	Estado
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	estudiantes	NOUN	18	nsubj
3	de	ADP	4	case
4	Deusto	PROPN	2	nmod
5	,	PUNCT	8	punct
6	que	PRON	8	nsubj
7	han	AUX	8	aux
8	organizado	VERB	2	acl
9	esta	DET	10	det
10	visita	NOUN	8	obj
11	a	ADP	12	case
12	Madrid	PROPN	10	nmod
13	por	ADP	16	case
14	su	DET	16	det
15	propia	DET	14	det
16	iniciativa	NOUN	8	obl
17	,	PUNCT	8	punct
18	permanecerán	VERB	0	root
19	en	ADP	20	case
20	Madrid	PROPN	18	obl
21	hasta	ADP	23	case
22	el	DET	23	det
23	Jueves	NOUN	18	obl
24	,	PUNCT	25	punct
25	visitando	VERB	18	advcl
26	otras	DET	27	det
27	instituciones	NOUN	25	obj
28	del	ADP	29	case
29	Estado	PROPN	27	nmod
30	.	PUNCT	18	punct