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:
"Pegaban a diestro y siniestro, recibías por menos de nada. Hoy, al menos, no hay ni la décima parte de lo del domingo", explicaba un manifestante.
Postion	Tokenization
1	"
2	Pegaban
3	a
4	diestro
5	y
6	siniestro
7	,
8	recibías
9	por
10	menos
11	de
12	nada
13	.
14	Hoy
15	,
16	al
17	menos
18	,
19	no
20	hay
21	ni
22	la
23	décima
24	parte
25	de
26	lo
27	del
28	domingo
29	"
30	,
31	explicaba
32	un
33	manifestante
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Pegaban	VERB	31	ccomp
3	a	ADP	2	advmod
4	diestro	NOUN	3	fixed
5	y	CCONJ	3	fixed
6	siniestro	NOUN	3	fixed
7	,	PUNCT	2	punct
8	recibías	VERB	2	advcl
9	por	ADP	10	case
10	menos	ADV	8	advmod
11	de	ADP	12	case
12	nada	PRON	10	obl
13	.	PUNCT	2	punct
14	Hoy	ADV	20	advmod
15	,	PUNCT	16	punct
16	al	ADP	20	advmod
17	menos	ADV	16	fixed
18	,	PUNCT	16	punct
19	no	ADV	20	advmod
20	hay	AUX	2	advcl
21	ni	ADV	24	advmod
22	la	DET	24	det
23	décima	ADJ	24	amod
24	parte	NOUN	20	obj
25	de	ADP	26	case
26	lo	PRON	24	det
27	del	ADP	26	case
28	domingo	NOUN	26	nmod
29	"	PUNCT	2	punct
30	,	PUNCT	2	punct
31	explicaba	VERB	0	root
32	un	DET	33	det
33	manifestante	NOUN	31	nsubj
34	.	PUNCT	31	punct