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 concejal indicó que los sacrificios, que ahora se han suspendido cautelarmente, se harán en el futuro por inyección letal, el método que la mayor parte de veterinarios reconoce como el de menor sufrimiento para el animal.
Postion	Tokenization
1	El
2	concejal
3	indicó
4	que
5	los
6	sacrificios
7	,
8	que
9	ahora
10	se
11	han
12	suspendido
13	cautelarmente
14	,
15	se
16	harán
17	en
18	el
19	futuro
20	por
21	inyección
22	letal
23	,
24	el
25	método
26	que
27	la
28	mayor
29	parte
30	de
31	veterinarios
32	reconoce
33	como
34	el
35	de
36	menor
37	sufrimiento
38	para
39	el
40	animal
41	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	concejal	NOUN	3	nsubj
3	indicó	VERB	0	root
4	que	SCONJ	16	mark
5	los	DET	6	det
6	sacrificios	NOUN	16	nsubj
7	,	PUNCT	12	punct
8	que	PRON	12	nsubj
9	ahora	ADV	12	advmod
10	se	PRON	12	expl:pass
11	han	AUX	12	aux
12	suspendido	VERB	6	acl
13	cautelarmente	ADV	12	advmod
14	,	PUNCT	12	punct
15	se	PRON	16	expl:pass
16	harán	VERB	3	ccomp
17	en	ADP	19	case
18	el	DET	19	det
19	futuro	NOUN	16	obl
20	por	ADP	21	case
21	inyección	NOUN	16	obl
22	letal	ADJ	21	amod
23	,	PUNCT	25	punct
24	el	DET	25	det
25	método	NOUN	21	appos
26	que	PRON	32	obj
27	la	DET	29	det
28	mayor	ADJ	29	amod
29	parte	NOUN	32	nsubj
30	de	ADP	31	case
31	veterinarios	NOUN	29	nmod
32	reconoce	VERB	25	acl
33	como	SCONJ	34	mark
34	el	DET	32	det
35	de	ADP	34	case
36	menor	ADJ	37	amod
37	sufrimiento	NOUN	34	obj
38	para	ADP	40	case
39	el	DET	40	det
40	animal	NOUN	37	nmod
41	.	PUNCT	3	punct