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 128 litros que dejó el temporal entre el domingo por la mañana y la madrugada de ayer provocaron numerosos problemas en la ciudad, como inundaciones de túneles, garajes anegados y cortes en el metro.
Postion	Tokenization
1	Los
2	128
3	litros
4	que
5	dejó
6	el
7	temporal
8	entre
9	el
10	domingo
11	por
12	la
13	mañana
14	y
15	la
16	madrugada
17	de
18	ayer
19	provocaron
20	numerosos
21	problemas
22	en
23	la
24	ciudad
25	,
26	como
27	inundaciones
28	de
29	túneles
30	,
31	garajes
32	anegados
33	y
34	cortes
35	en
36	el
37	metro
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	128	NUM	3	nummod
3	litros	NOUN	19	nsubj
4	que	PRON	5	obj
5	dejó	VERB	3	acl
6	el	DET	7	det
7	temporal	NOUN	5	nsubj
8	entre	ADP	10	case
9	el	DET	10	det
10	domingo	NOUN	5	obl
11	por	ADP	13	case
12	la	DET	13	det
13	mañana	NOUN	10	nmod
14	y	CCONJ	16	cc
15	la	DET	16	det
16	madrugada	NOUN	10	conj
17	de	ADP	18	case
18	ayer	ADV	16	advmod
19	provocaron	VERB	0	root
20	numerosos	ADJ	21	amod
21	problemas	NOUN	19	obj
22	en	ADP	24	case
23	la	DET	24	det
24	ciudad	NOUN	19	obl
25	,	PUNCT	27	punct
26	como	SCONJ	27	mark
27	inundaciones	NOUN	19	obl
28	de	ADP	29	case
29	túneles	NOUN	27	nmod
30	,	PUNCT	31	punct
31	garajes	NOUN	27	conj
32	anegados	ADJ	31	amod
33	y	CCONJ	34	cc
34	cortes	NOUN	27	conj
35	en	ADP	37	case
36	el	DET	37	det
37	metro	NOUN	34	nmod
38	.	PUNCT	19	punct