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:
Pienso, al contrario, - que guardando la cortesía - es democráticamente bueno que los políticos, en su territorio, se lleven mal.
Postion	Tokenization
1	Pienso
2	,
3	al
4	contrario
5	,
6	-
7	que
8	guardando
9	la
10	cortesía
11	-
12	es
13	democráticamente
14	bueno
15	que
16	los
17	políticos
18	,
19	en
20	su
21	territorio
22	,
23	se
24	lleven
25	mal
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Pienso	VERB	0	root
2	,	PUNCT	3	punct
3	al	ADP	1	advmod
4	contrario	NOUN	3	fixed
5	,	PUNCT	3	punct
6	-	PUNCT	14	punct
7	que	SCONJ	14	mark
8	guardando	VERB	14	advcl
9	la	DET	10	det
10	cortesía	NOUN	8	obj
11	-	PUNCT	14	punct
12	es	AUX	14	cop
13	democráticamente	ADV	14	advmod
14	bueno	ADJ	1	ccomp
15	que	SCONJ	24	mark
16	los	DET	17	det
17	políticos	NOUN	24	nsubj
18	,	PUNCT	21	punct
19	en	ADP	21	case
20	su	DET	21	det
21	territorio	NOUN	24	obl
22	,	PUNCT	21	punct
23	se	PRON	24	expl:pv
24	lleven	VERB	14	csubj
25	mal	ADV	24	advmod
26	.	PUNCT	1	punct