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:
Como ocurrió en los últimos años, los servicios de urgencias recibieron anteayer casi un 40% más de demanda que hace dos semanas, a consecuencia de la gripe.
Postion	Tokenization
1	Como
2	ocurrió
3	en
4	los
5	últimos
6	años
7	,
8	los
9	servicios
10	de
11	urgencias
12	recibieron
13	anteayer
14	casi
15	un
16	40%
17	más
18	de
19	demanda
20	que
21	hace
22	dos
23	semanas
24	,
25	a
26	consecuencia
27	de
28	la
29	gripe
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	2	mark
2	ocurrió	VERB	12	advcl
3	en	ADP	6	case
4	los	DET	6	det
5	últimos	ADJ	6	amod
6	años	NOUN	2	obl
7	,	PUNCT	2	punct
8	los	DET	9	det
9	servicios	NOUN	12	nsubj
10	de	ADP	11	case
11	urgencias	NOUN	9	nmod
12	recibieron	VERB	0	root
13	anteayer	ADV	12	advmod
14	casi	ADV	16	advmod
15	un	DET	16	det
16	40%	SYM	12	obj
17	más	ADV	16	advmod
18	de	ADP	19	case
19	demanda	NOUN	16	nmod
20	que	SCONJ	21	mark
21	hace	VERB	16	advcl
22	dos	NUM	23	nummod
23	semanas	NOUN	21	obj
24	,	PUNCT	29	punct
25	a	ADP	29	case
26	consecuencia	NOUN	25	fixed
27	de	ADP	25	fixed
28	la	DET	29	det
29	gripe	NOUN	12	obl
30	.	PUNCT	12	punct