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:
Pujol dio ayer por zanjado el asunto de la torna de las pensiones catalanas y puso el acento en dedicar los esfuerzos futuros en este campo en conseguir una mejora de todos los subsidios más bajos.
Postion	Tokenization
1	Pujol
2	dio
3	ayer
4	por
5	zanjado
6	el
7	asunto
8	de
9	la
10	torna
11	de
12	las
13	pensiones
14	catalanas
15	y
16	puso
17	el
18	acento
19	en
20	dedicar
21	los
22	esfuerzos
23	futuros
24	en
25	este
26	campo
27	en
28	conseguir
29	una
30	mejora
31	de
32	todos
33	los
34	subsidios
35	más
36	bajos
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Pujol	PROPN	2	nsubj
2	dio	VERB	0	root
3	ayer	ADV	2	advmod
4	por	ADP	5	case
5	zanjado	ADJ	2	obl
6	el	DET	7	det
7	asunto	NOUN	2	obj
8	de	ADP	10	case
9	la	DET	10	det
10	torna	NOUN	7	nmod
11	de	ADP	13	case
12	las	DET	13	det
13	pensiones	NOUN	10	nmod
14	catalanas	ADJ	13	amod
15	y	CCONJ	16	cc
16	puso	VERB	2	conj
17	el	DET	18	det
18	acento	NOUN	16	obj
19	en	ADP	20	mark
20	dedicar	VERB	16	advcl
21	los	DET	22	det
22	esfuerzos	NOUN	20	obj
23	futuros	ADJ	22	amod
24	en	ADP	26	case
25	este	DET	26	det
26	campo	NOUN	22	nmod
27	en	ADP	28	mark
28	conseguir	VERB	20	advcl
29	una	DET	30	det
30	mejora	NOUN	28	obj
31	de	ADP	34	case
32	todos	DET	33	det
33	los	DET	34	det
34	subsidios	NOUN	30	nmod
35	más	ADV	36	advmod
36	bajos	ADJ	34	amod
37	.	PUNCT	2	punct