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:
No rectificar a tiempo o no apostar en serio por una subida efectiva de las pensiones, encaja poco con su veteranía política, en la que hasta ahora solía primar la sensatez sobre el aventurismo.
Postion	Tokenization
1	No
2	rectificar
3	a
4	tiempo
5	o
6	no
7	apostar
8	en
9	serio
10	por
11	una
12	subida
13	efectiva
14	de
15	las
16	pensiones
17	,
18	encaja
19	poco
20	con
21	su
22	veteranía
23	política
24	,
25	en
26	la
27	que
28	hasta
29	ahora
30	solía
31	primar
32	la
33	sensatez
34	sobre
35	el
36	aventurismo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	No	ADV	2	advmod
2	rectificar	VERB	18	csubj
3	a	ADP	2	advmod
4	tiempo	NOUN	3	fixed
5	o	CCONJ	7	cc
6	no	ADV	7	advmod
7	apostar	VERB	2	conj
8	en	ADP	7	advmod
9	serio	NOUN	8	fixed
10	por	ADP	12	case
11	una	DET	12	det
12	subida	NOUN	7	obj
13	efectiva	ADJ	12	amod
14	de	ADP	16	case
15	las	DET	16	det
16	pensiones	NOUN	12	nmod
17	,	PUNCT	2	punct
18	encaja	VERB	0	root
19	poco	ADV	18	advmod
20	con	ADP	22	case
21	su	DET	22	det
22	veteranía	NOUN	18	obl
23	política	ADJ	22	amod
24	,	PUNCT	30	punct
25	en	ADP	27	case
26	la	DET	27	det
27	que	PRON	30	obl
28	hasta	ADP	29	case
29	ahora	ADV	30	advmod
30	solía	VERB	22	acl
31	primar	VERB	30	xcomp
32	la	DET	33	det
33	sensatez	NOUN	30	nsubj
34	sobre	ADP	36	case
35	el	DET	36	det
36	aventurismo	NOUN	30	obl
37	.	PUNCT	18	punct