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:
"Desde su fundación hace casi 50 años - dijo -, The Spanish Institute ha trabajado sin desmayo por construir y reforzar los lazos entre España, el mundo de habla española y Estados Unidos".
Postion	Tokenization
1	"
2	Desde
3	su
4	fundación
5	hace
6	casi
7	50
8	años
9	-
10	dijo
11	-
12	,
13	The
14	Spanish
15	Institute
16	ha
17	trabajado
18	sin
19	desmayo
20	por
21	construir
22	y
23	reforzar
24	los
25	lazos
26	entre
27	España
28	,
29	el
30	mundo
31	de
32	habla
33	española
34	y
35	Estados
36	Unidos
37	"
38	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	17	punct
2	Desde	ADP	4	case
3	su	DET	4	det
4	fundación	NOUN	17	obl
5	hace	VERB	4	advcl
6	casi	ADV	8	advmod
7	50	NUM	8	nummod
8	años	NOUN	5	obj
9	-	PUNCT	10	punct
10	dijo	VERB	17	parataxis
11	-	PUNCT	10	punct
12	,	PUNCT	10	punct
13	The	PROPN	17	nsubj
14	Spanish	PROPN	13	flat
15	Institute	PROPN	13	flat
16	ha	AUX	17	aux
17	trabajado	VERB	0	root
18	sin	ADP	19	case
19	desmayo	NOUN	17	obl
20	por	ADP	21	mark
21	construir	VERB	17	advcl
22	y	CCONJ	23	cc
23	reforzar	VERB	21	conj
24	los	DET	25	det
25	lazos	NOUN	21	obj
26	entre	ADP	27	case
27	España	PROPN	25	nmod
28	,	PUNCT	30	punct
29	el	DET	30	det
30	mundo	NOUN	27	appos
31	de	ADP	32	case
32	habla	NOUN	30	nmod
33	española	ADJ	32	amod
34	y	CCONJ	35	cc
35	Estados	PROPN	27	conj
36	Unidos	PROPN	35	flat
37	"	PUNCT	17	punct
38	.	PUNCT	17	punct