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:
Horas después regresó al Hospital La Paz, donde fue ingresada dado su estado emocional y las graves lesiones que presentaba.
Postion	Tokenization
1	Horas
2	después
3	regresó
4	al
5	Hospital
6	La
7	Paz
8	,
9	donde
10	fue
11	ingresada
12	dado
13	su
14	estado
15	emocional
16	y
17	las
18	graves
19	lesiones
20	que
21	presentaba
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Horas	NOUN	2	obl
2	después	ADV	3	advmod
3	regresó	VERB	0	root
4	al	ADP	5	case
5	Hospital	PROPN	3	obl
6	La	DET	7	det
7	Paz	PROPN	5	flat
8	,	PUNCT	11	punct
9	donde	PRON	11	obl
10	fue	AUX	11	aux
11	ingresada	VERB	5	acl
12	dado	VERB	11	advcl
13	su	DET	14	det
14	estado	NOUN	12	nsubj
15	emocional	ADJ	14	amod
16	y	CCONJ	19	cc
17	las	DET	19	det
18	graves	ADJ	19	amod
19	lesiones	NOUN	14	conj
20	que	PRON	21	obj
21	presentaba	VERB	19	acl
22	.	PUNCT	3	punct