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:
"Yo no pido que me protejan", le dijo al jefe policial que le recomendaba que no se fuese caminando.
Postion	Tokenization
1	"
2	Yo
3	no
4	pido
5	que
6	me
7	protejan
8	"
9	,
10	le
11	dijo
12	al
13	jefe
14	policial
15	que
16	le
17	recomendaba
18	que
19	no
20	se
21	fuese
22	caminando
23	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Yo	PRON	4	nsubj
3	no	ADV	4	advmod
4	pido	VERB	11	ccomp
5	que	SCONJ	7	mark
6	me	PRON	7	obj
7	protejan	VERB	4	ccomp
8	"	PUNCT	4	punct
9	,	PUNCT	4	punct
10	le	PRON	11	iobj
11	dijo	VERB	0	root
12	al	ADP	13	case
13	jefe	NOUN	11	iobj
14	policial	ADJ	13	amod
15	que	PRON	17	nsubj
16	le	PRON	17	iobj
17	recomendaba	VERB	13	acl
18	que	SCONJ	21	mark
19	no	ADV	21	advmod
20	se	PRON	21	expl:pv
21	fuese	AUX	17	ccomp
22	caminando	VERB	21	advcl
23	.	PUNCT	11	punct