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:
Fue una marcha pacífica, que comenzó escasa de participantes pero fue creciendo, que produjo risas, melancolía y hasta lágrimas por la desaparición del sucre después de 116 años de vigencia.
Postion	Tokenization
1	Fue
2	una
3	marcha
4	pacífica
5	,
6	que
7	comenzó
8	escasa
9	de
10	participantes
11	pero
12	fue
13	creciendo
14	,
15	que
16	produjo
17	risas
18	,
19	melancolía
20	y
21	hasta
22	lágrimas
23	por
24	la
25	desaparición
26	del
27	sucre
28	después
29	de
30	116
31	años
32	de
33	vigencia
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Fue	AUX	3	cop
2	una	DET	3	det
3	marcha	NOUN	0	root
4	pacífica	ADJ	3	amod
5	,	PUNCT	7	punct
6	que	PRON	7	nsubj
7	comenzó	VERB	3	acl
8	escasa	ADJ	7	obj
9	de	ADP	10	case
10	participantes	NOUN	8	nmod
11	pero	CCONJ	13	cc
12	fue	AUX	13	aux
13	creciendo	VERB	7	conj
14	,	PUNCT	16	punct
15	que	PRON	16	nsubj
16	produjo	VERB	3	acl
17	risas	NOUN	16	obj
18	,	PUNCT	19	punct
19	melancolía	NOUN	17	conj
20	y	CCONJ	22	cc
21	hasta	ADV	22	advmod
22	lágrimas	NOUN	17	conj
23	por	ADP	25	case
24	la	DET	25	det
25	desaparición	NOUN	16	obl
26	del	ADP	27	case
27	sucre	NOUN	25	nmod
28	después	ADV	25	advmod
29	de	ADP	31	case
30	116	NUM	31	nummod
31	años	NOUN	28	obl
32	de	ADP	33	case
33	vigencia	NOUN	31	nmod
34	.	PUNCT	3	punct