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 el minuto 18, sin embargo, todo cambió, ya que el gol anotado por el Recreativo en Pamplona, ante el Osasuna, mandaba a los madrileños a Segunda B.
Postion	Tokenization
1	En
2	el
3	minuto
4	18
5	,
6	sin
7	embargo
8	,
9	todo
10	cambió
11	,
12	ya
13	que
14	el
15	gol
16	anotado
17	por
18	el
19	Recreativo
20	en
21	Pamplona
22	,
23	ante
24	el
25	Osasuna
26	,
27	mandaba
28	a
29	los
30	madrileños
31	a
32	Segunda
33	B
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	minuto	NOUN	10	obl
4	18	NUM	3	appos
5	,	PUNCT	6	punct
6	sin	ADP	10	advmod
7	embargo	NOUN	6	fixed
8	,	PUNCT	6	punct
9	todo	PRON	10	nsubj
10	cambió	VERB	0	root
11	,	PUNCT	27	punct
12	ya	ADV	27	mark
13	que	SCONJ	12	fixed
14	el	DET	15	det
15	gol	NOUN	27	nsubj
16	anotado	ADJ	15	amod
17	por	ADP	19	case
18	el	DET	19	det
19	Recreativo	PROPN	16	obj
20	en	ADP	21	case
21	Pamplona	PROPN	16	obl
22	,	PUNCT	25	punct
23	ante	ADP	25	case
24	el	DET	25	det
25	Osasuna	PROPN	16	obl
26	,	PUNCT	25	punct
27	mandaba	VERB	10	advcl
28	a	ADP	30	case
29	los	DET	30	det
30	madrileños	NOUN	27	obj
31	a	ADP	32	case
32	Segunda	PROPN	27	obl
33	B	PROPN	32	flat
34	.	PUNCT	10	punct