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:
Y aunque estas malquerencias nos toquen a todos en privado (tenemos tirrias) en política no es bueno que prive ese rotundo y tan abrumador factor humano.
Postion	Tokenization
1	Y
2	aunque
3	estas
4	malquerencias
5	nos
6	toquen
7	a
8	todos
9	en
10	privado
11	(
12	tenemos
13	tirrias
14	)
15	en
16	política
17	no
18	es
19	bueno
20	que
21	prive
22	ese
23	rotundo
24	y
25	tan
26	abrumador
27	factor
28	humano
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	19	advmod
2	aunque	SCONJ	6	mark
3	estas	DET	4	det
4	malquerencias	NOUN	6	nsubj
5	nos	PRON	6	iobj
6	toquen	VERB	19	advcl
7	a	ADP	8	case
8	todos	PRON	6	obj
9	en	ADP	6	advmod
10	privado	NOUN	9	fixed
11	(	PUNCT	12	punct
12	tenemos	VERB	19	parataxis
13	tirrias	NOUN	12	obj
14	)	PUNCT	12	punct
15	en	ADP	16	case
16	política	NOUN	19	obl
17	no	ADV	19	advmod
18	es	AUX	19	cop
19	bueno	ADJ	0	root
20	que	SCONJ	21	mark
21	prive	VERB	19	csubj
22	ese	DET	27	det
23	rotundo	ADJ	27	amod
24	y	CCONJ	26	cc
25	tan	ADV	26	advmod
26	abrumador	ADJ	23	conj
27	factor	NOUN	21	nsubj
28	humano	ADJ	27	amod
29	.	PUNCT	19	punct