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 esas mismas fechas cien ecuatorianos más fueron detenidos en la frontera de Panamá con Costa Rica, mientras que otros 50 que procedían de Nicaragua y Costa Rica corrieron la misma suerte.
Postion	Tokenization
1	En
2	esas
3	mismas
4	fechas
5	cien
6	ecuatorianos
7	más
8	fueron
9	detenidos
10	en
11	la
12	frontera
13	de
14	Panamá
15	con
16	Costa
17	Rica
18	,
19	mientras
20	que
21	otros
22	50
23	que
24	procedían
25	de
26	Nicaragua
27	y
28	Costa
29	Rica
30	corrieron
31	la
32	misma
33	suerte
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	esas	DET	4	det
3	mismas	DET	2	det
4	fechas	NOUN	9	obl
5	cien	NUM	6	nummod
6	ecuatorianos	NOUN	9	nsubj
7	más	ADV	6	advmod
8	fueron	AUX	9	aux
9	detenidos	VERB	19	parataxis
10	en	ADP	12	case
11	la	DET	12	det
12	frontera	NOUN	9	obl
13	de	ADP	14	case
14	Panamá	PROPN	12	nmod
15	con	ADP	16	case
16	Costa	PROPN	12	nmod
17	Rica	PROPN	16	flat
18	,	PUNCT	19	punct
19	mientras	CCONJ	0	root
20	que	SCONJ	19	fixed
21	otros	PRON	22	nmod
22	50	NUM	30	nsubj
23	que	PRON	24	nsubj
24	procedían	VERB	22	advcl
25	de	ADP	26	case
26	Nicaragua	PROPN	24	obj
27	y	CCONJ	28	cc
28	Costa	PROPN	26	conj
29	Rica	PROPN	28	flat
30	corrieron	VERB	19	parataxis
31	la	DET	33	det
32	misma	DET	31	det
33	suerte	NOUN	30	obj
34	.	PUNCT	19	punct