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:
"Después de haber perdido los individuales de la forma que perdimos los dos, que nos quedamos chafados", continuó, "recuperarnos y ganar una medalla es un logro inolvidable.
Postion	Tokenization
1	"
2	Después
3	de
4	haber
5	perdido
6	los
7	individuales
8	de
9	la
10	forma
11	que
12	perdimos
13	los
14	dos
15	,
16	que
17	nos
18	quedamos
19	chafados
20	"
21	,
22	continuó
23	,
24	"
25	recuperarnos
26	recuperar
27	nos
28	y
29	ganar
30	una
31	medalla
32	es
33	un
34	logro
35	inolvidable
36	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Después	ADV	33	advmod
3	de	ADP	5	mark
4	haber	AUX	5	aux
5	perdido	VERB	2	advcl
6	los	DET	7	det
7	individuales	NOUN	5	obj
8	de	ADP	10	case
9	la	DET	10	det
10	forma	NOUN	5	obl
11	que	PRON	12	obl
12	perdimos	VERB	10	acl
13	los	DET	14	det
14	dos	NUM	12	nsubj
15	,	PUNCT	12	punct
16	que	PRON	18	obl
17	nos	PRON	18	expl:pv
18	quedamos	VERB	12	advcl
19	chafados	ADJ	18	obj
20	"	PUNCT	2	punct
21	,	PUNCT	22	punct
22	continuó	VERB	33	parataxis
23	,	PUNCT	22	punct
24	"	PUNCT	25	punct
25	recuperarnos	_	None	_
26	recuperar	VERB	33	csubj
27	nos	PRON	25	expl:pv
28	y	CCONJ	28	cc
29	ganar	VERB	25	conj
30	una	DET	30	det
31	medalla	NOUN	28	obj
32	es	AUX	33	cop
33	un	DET	33	det
34	logro	NOUN	0	root
35	inolvidable	ADJ	33	amod
36	.	PUNCT	33	punct