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 políticos nos hacen reír por su frivolidad de secuaces de un partido, pero de pronto se vengan de nuestra risa a tiro limpio.
Postion	Tokenization
1	Los
2	políticos
3	nos
4	hacen
5	reír
6	por
7	su
8	frivolidad
9	de
10	secuaces
11	de
12	un
13	partido
14	,
15	pero
16	de
17	pronto
18	se
19	vengan
20	de
21	nuestra
22	risa
23	a
24	tiro
25	limpio
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	políticos	NOUN	4	nsubj
3	nos	PRON	4	iobj
4	hacen	VERB	0	root
5	reír	VERB	4	xcomp
6	por	ADP	8	case
7	su	DET	8	det
8	frivolidad	NOUN	4	obl
9	de	ADP	10	case
10	secuaces	ADJ	8	amod
11	de	ADP	13	case
12	un	DET	13	det
13	partido	NOUN	10	nmod
14	,	PUNCT	19	punct
15	pero	CCONJ	19	cc
16	de	ADP	19	advmod
17	pronto	NOUN	16	fixed
18	se	PRON	19	obj
19	vengan	VERB	5	conj
20	de	ADP	22	case
21	nuestra	DET	22	det
22	risa	NOUN	19	obj
23	a	ADP	19	advmod
24	tiro	NOUN	23	fixed
25	limpio	ADJ	23	fixed
26	.	PUNCT	4	punct