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:
Ello aumentará la credibilidad de la propia formación, garantizará objetivamente a los ciudadanos la calidad de las prestaciones que reciban y prestigiará al colectivo médico, que de paso no nos vendrá nada mal.
Postion	Tokenization
1	Ello
2	aumentará
3	la
4	credibilidad
5	de
6	la
7	propia
8	formación
9	,
10	garantizará
11	objetivamente
12	a
13	los
14	ciudadanos
15	la
16	calidad
17	de
18	las
19	prestaciones
20	que
21	reciban
22	y
23	prestigiará
24	al
25	colectivo
26	médico
27	,
28	que
29	de
30	paso
31	no
32	nos
33	vendrá
34	nada
35	mal
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Ello	PRON	2	nsubj
2	aumentará	VERB	0	root
3	la	DET	4	det
4	credibilidad	NOUN	2	obj
5	de	ADP	8	case
6	la	DET	8	det
7	propia	DET	6	det
8	formación	NOUN	4	nmod
9	,	PUNCT	10	punct
10	garantizará	VERB	2	advcl
11	objetivamente	ADV	10	advmod
12	a	ADP	14	case
13	los	DET	14	det
14	ciudadanos	NOUN	10	obj
15	la	DET	16	det
16	calidad	NOUN	10	obj
17	de	ADP	19	case
18	las	DET	19	det
19	prestaciones	NOUN	16	nmod
20	que	PRON	21	obj
21	reciban	VERB	19	acl
22	y	CCONJ	23	cc
23	prestigiará	VERB	2	conj
24	al	ADP	25	case
25	colectivo	NOUN	23	obj
26	médico	ADJ	25	amod
27	,	PUNCT	33	punct
28	que	PRON	33	nsubj
29	de	ADP	33	advmod
30	paso	NOUN	29	fixed
31	no	ADV	33	advmod
32	nos	PRON	33	iobj
33	vendrá	VERB	23	advcl
34	nada	ADV	35	advmod
35	mal	ADV	33	advmod
36	.	PUNCT	2	punct