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:
El primero quería arreglar las causas de su naufragio del jueves en Madrid; el segundo, poner los medios para minimizar las medidas correctivas del entrenador barcelonista y poder, así, ganar de nuevo.
Postion	Tokenization
1	El
2	primero
3	quería
4	arreglar
5	las
6	causas
7	de
8	su
9	naufragio
10	del
11	jueves
12	en
13	Madrid
14	;
15	el
16	segundo
17	,
18	poner
19	los
20	medios
21	para
22	minimizar
23	las
24	medidas
25	correctivas
26	del
27	entrenador
28	barcelonista
29	y
30	poder
31	,
32	así
33	,
34	ganar
35	de
36	nuevo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	primero	ADJ	3	nsubj
3	quería	VERB	0	root
4	arreglar	VERB	3	xcomp
5	las	DET	6	det
6	causas	NOUN	4	obj
7	de	ADP	9	case
8	su	DET	9	det
9	naufragio	NOUN	6	nmod
10	del	ADP	11	case
11	jueves	NOUN	9	nmod
12	en	ADP	13	case
13	Madrid	PROPN	9	nmod
14	;	PUNCT	3	punct
15	el	DET	16	det
16	segundo	ADJ	18	obj
17	,	PUNCT	16	punct
18	poner	VERB	3	advcl
19	los	DET	20	det
20	medios	NOUN	18	obj
21	para	ADP	22	mark
22	minimizar	VERB	18	advcl
23	las	DET	24	det
24	medidas	NOUN	22	obj
25	correctivas	ADJ	24	amod
26	del	ADP	27	case
27	entrenador	NOUN	24	nmod
28	barcelonista	ADJ	27	amod
29	y	CCONJ	34	cc
30	poder	AUX	34	aux
31	,	PUNCT	32	punct
32	así	ADV	34	advmod
33	,	PUNCT	32	punct
34	ganar	VERB	18	conj
35	de	ADP	34	advmod
36	nuevo	ADJ	35	fixed
37	.	PUNCT	3	punct