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 gobernador mostró a los periodistas un golpe leve sufrido en la cabeza y un pequeño sangrado en el labio superior, causados por las piedras y naranjas arrojadas por los manifestantes.
Postion	Tokenization
1	El
2	gobernador
3	mostró
4	a
5	los
6	periodistas
7	un
8	golpe
9	leve
10	sufrido
11	en
12	la
13	cabeza
14	y
15	un
16	pequeño
17	sangrado
18	en
19	el
20	labio
21	superior
22	,
23	causados
24	por
25	las
26	piedras
27	y
28	naranjas
29	arrojadas
30	por
31	los
32	manifestantes
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	gobernador	NOUN	3	nsubj
3	mostró	VERB	0	root
4	a	ADP	6	case
5	los	DET	6	det
6	periodistas	NOUN	3	obj
7	un	DET	8	det
8	golpe	NOUN	3	obj
9	leve	ADJ	8	amod
10	sufrido	ADJ	8	amod
11	en	ADP	13	case
12	la	DET	13	det
13	cabeza	NOUN	10	obl
14	y	CCONJ	17	cc
15	un	DET	17	det
16	pequeño	ADJ	17	amod
17	sangrado	NOUN	8	conj
18	en	ADP	20	case
19	el	DET	20	det
20	labio	NOUN	17	nmod
21	superior	ADJ	20	amod
22	,	PUNCT	23	punct
23	causados	ADJ	8	amod
24	por	ADP	26	case
25	las	DET	26	det
26	piedras	NOUN	23	obj
27	y	CCONJ	28	cc
28	naranjas	NOUN	26	conj
29	arrojadas	ADJ	26	amod
30	por	ADP	32	case
31	los	DET	32	det
32	manifestantes	NOUN	29	obj
33	.	PUNCT	3	punct