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:
Los heridos fueron trasladados a diversos hospitales cercanos en Manzanares y Valdepeñas, en los que a última hora de la noche de ayer continuaban ingresados seis pasajeros.
Postion	Tokenization
1	Los
2	heridos
3	fueron
4	trasladados
5	a
6	diversos
7	hospitales
8	cercanos
9	en
10	Manzanares
11	y
12	Valdepeñas
13	,
14	en
15	los
16	que
17	a
18	última
19	hora
20	de
21	la
22	noche
23	de
24	ayer
25	continuaban
26	ingresados
27	seis
28	pasajeros
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	heridos	NOUN	4	nsubj
3	fueron	AUX	4	aux
4	trasladados	VERB	0	root
5	a	ADP	7	case
6	diversos	DET	7	det
7	hospitales	NOUN	4	obl
8	cercanos	ADJ	7	amod
9	en	ADP	10	case
10	Manzanares	PROPN	7	nmod
11	y	CCONJ	12	cc
12	Valdepeñas	PROPN	10	conj
13	,	PUNCT	25	punct
14	en	ADP	16	case
15	los	DET	16	det
16	que	PRON	25	obl
17	a	ADP	19	case
18	última	ADJ	19	amod
19	hora	NOUN	25	obl
20	de	ADP	22	case
21	la	DET	22	det
22	noche	NOUN	19	nmod
23	de	ADP	24	case
24	ayer	ADV	22	advmod
25	continuaban	VERB	7	acl
26	ingresados	ADJ	25	obj
27	seis	NUM	28	nummod
28	pasajeros	NOUN	25	nsubj
29	.	PUNCT	4	punct