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:
Durante los dos días siguientes, numerosos diputados habían manifestado su apoyo a Pilar porque al fin y al cabo muchos políticos con poltrona en el Congreso participan en tertulias.
Postion	Tokenization
1	Durante
2	los
3	dos
4	días
5	siguientes
6	,
7	numerosos
8	diputados
9	habían
10	manifestado
11	su
12	apoyo
13	a
14	Pilar
15	porque
16	al
17	fin
18	y
19	al
20	cabo
21	muchos
22	políticos
23	con
24	poltrona
25	en
26	el
27	Congreso
28	participan
29	en
30	tertulias
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Durante	ADP	4	case
2	los	DET	4	det
3	dos	NUM	2	nummod
4	días	NOUN	10	obl
5	siguientes	ADJ	4	amod
6	,	PUNCT	4	punct
7	numerosos	ADJ	8	amod
8	diputados	NOUN	10	nsubj
9	habían	AUX	10	aux
10	manifestado	VERB	0	root
11	su	DET	12	det
12	apoyo	NOUN	10	obj
13	a	ADP	14	case
14	Pilar	PROPN	10	obj
15	porque	SCONJ	28	mark
16	al	ADP	28	advmod
17	fin	NOUN	16	fixed
18	y	CCONJ	16	fixed
19	al	ADP	16	fixed
20	cabo	NOUN	16	fixed
21	muchos	DET	22	det
22	políticos	NOUN	28	nsubj
23	con	ADP	24	case
24	poltrona	NOUN	22	nmod
25	en	ADP	27	case
26	el	DET	27	det
27	Congreso	PROPN	24	nmod
28	participan	VERB	10	advcl
29	en	ADP	30	case
30	tertulias	NOUN	28	obj
31	.	PUNCT	10	punct