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 busca de la solución a este problema, desde hace algunos años se han desarrollado los polímeros metalomacrocíclicos denominados - Chich Kebabo - o - Schaschlik -, que en castellano podríamos traducir por - brocheta -.
Postion	Tokenization
1	En
2	busca
3	de
4	la
5	solución
6	a
7	este
8	problema
9	,
10	desde
11	hace
12	algunos
13	años
14	se
15	han
16	desarrollado
17	los
18	polímeros
19	metalomacrocíclicos
20	denominados
21	-
22	Chich
23	Kebabo
24	-
25	o
26	-
27	Schaschlik
28	-
29	,
30	que
31	en
32	castellano
33	podríamos
34	traducir
35	por
36	-
37	brocheta
38	-
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	busca	NOUN	16	obl
3	de	ADP	5	case
4	la	DET	5	det
5	solución	NOUN	2	nmod
6	a	ADP	8	case
7	este	DET	8	det
8	problema	NOUN	5	nmod
9	,	PUNCT	2	punct
10	desde	ADP	11	mark
11	hace	VERB	16	advcl
12	algunos	DET	13	det
13	años	NOUN	11	obj
14	se	PRON	16	expl:pass
15	han	AUX	16	aux
16	desarrollado	VERB	0	root
17	los	DET	18	det
18	polímeros	NOUN	16	nsubj
19	metalomacrocíclicos	ADJ	18	amod
20	denominados	ADJ	18	amod
21	-	PUNCT	22	punct
22	Chich	PROPN	20	obj
23	Kebabo	PROPN	22	flat
24	-	PUNCT	27	punct
25	o	CCONJ	27	cc
26	-	PUNCT	27	punct
27	Schaschlik	PROPN	22	conj
28	-	PUNCT	27	punct
29	,	PUNCT	34	punct
30	que	PRON	34	obj
31	en	ADP	32	case
32	castellano	NOUN	34	obl
33	podríamos	AUX	34	aux
34	traducir	VERB	22	acl
35	por	ADP	37	case
36	-	PUNCT	37	punct
37	brocheta	NOUN	34	obj
38	-	PUNCT	16	punct
39	.	PUNCT	16	punct