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 este caso, habría que sustituir - muerto - por - destronado -, porque Butragueño, ya se ve, no está muerto, pero no está tan vivo como antes.
Postion	Tokenization
1	En
2	este
3	caso
4	,
5	habría
6	que
7	sustituir
8	-
9	muerto
10	-
11	por
12	-
13	destronado
14	-
15	,
16	porque
17	Butragueño
18	,
19	ya
20	se
21	ve
22	,
23	no
24	está
25	muerto
26	,
27	pero
28	no
29	está
30	tan
31	vivo
32	como
33	antes
34	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	este	DET	3	det
3	caso	NOUN	7	obl
4	,	PUNCT	3	punct
5	habría	AUX	0	root
6	que	SCONJ	7	cc
7	sustituir	VERB	5	conj
8	-	PUNCT	9	punct
9	muerto	ADJ	7	obj
10	-	PUNCT	9	punct
11	por	ADP	7	obj
12	-	PUNCT	13	punct
13	destronado	ADJ	11	advmod
14	-	PUNCT	13	punct
15	,	PUNCT	25	punct
16	porque	SCONJ	25	mark
17	Butragueño	PROPN	25	nsubj
18	,	PUNCT	21	punct
19	ya	ADV	21	advmod
20	se	PRON	21	expl:impers
21	ve	VERB	25	parataxis
22	,	PUNCT	21	punct
23	no	ADV	25	advmod
24	está	AUX	25	cop
25	muerto	ADJ	7	advcl
26	,	PUNCT	31	punct
27	pero	CCONJ	31	cc
28	no	ADV	31	advmod
29	está	AUX	31	cop
30	tan	ADV	31	advmod
31	vivo	ADJ	25	conj
32	como	SCONJ	33	mark
33	antes	ADV	31	advmod
34	.	PUNCT	5	punct