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 061 realizó 270 intervenciones de todo tipo, mientras que la Cruz Roja realizó más de 50 traslados a hospitales.
Postion	Tokenization
1	El
2	061
3	realizó
4	270
5	intervenciones
6	de
7	todo
8	tipo
9	,
10	mientras
11	que
12	la
13	Cruz
14	Roja
15	realizó
16	más
17	de
18	50
19	traslados
20	a
21	hospitales
22	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	061	NUM	3	nsubj
3	realizó	VERB	10	parataxis
4	270	NUM	5	nummod
5	intervenciones	NOUN	3	obj
6	de	ADP	8	case
7	todo	DET	8	det
8	tipo	NOUN	5	nmod
9	,	PUNCT	10	punct
10	mientras	CCONJ	0	root
11	que	SCONJ	10	fixed
12	la	DET	13	det
13	Cruz	PROPN	15	nsubj
14	Roja	PROPN	13	flat
15	realizó	VERB	10	parataxis
16	más	ADV	19	advmod
17	de	ADP	16	case
18	50	NUM	16	nummod
19	traslados	NOUN	15	obj
20	a	ADP	21	case
21	hospitales	NOUN	19	nmod
22	.	PUNCT	10	punct