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:
Según la Subdelegación del Gobierno, el nivel de agua del río a su paso por este municipio llegó a crecer tres metros por encima de su cauce natural.
Postion	Tokenization
1	Según
2	la
3	Subdelegación
4	del
5	Gobierno
6	,
7	el
8	nivel
9	de
10	agua
11	del
12	río
13	a
14	su
15	paso
16	por
17	este
18	municipio
19	llegó
20	a
21	crecer
22	tres
23	metros
24	por
25	encima
26	de
27	su
28	cauce
29	natural
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	3	case
2	la	DET	3	det
3	Subdelegación	PROPN	19	obl
4	del	ADP	5	case
5	Gobierno	PROPN	3	flat
6	,	PUNCT	3	punct
7	el	DET	8	det
8	nivel	NOUN	19	nsubj
9	de	ADP	10	case
10	agua	NOUN	8	nmod
11	del	ADP	12	case
12	río	NOUN	8	nmod
13	a	ADP	15	case
14	su	DET	15	det
15	paso	NOUN	8	nmod
16	por	ADP	18	case
17	este	DET	18	det
18	municipio	NOUN	15	nmod
19	llegó	VERB	0	root
20	a	ADP	21	mark
21	crecer	VERB	19	xcomp
22	tres	NUM	23	nummod
23	metros	NOUN	21	obj
24	por	ADP	28	case
25	encima	ADV	24	fixed
26	de	ADP	24	fixed
27	su	DET	28	det
28	cauce	NOUN	23	nmod
29	natural	ADJ	28	amod
30	.	PUNCT	19	punct