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:
Si el 25 de julio dieran en Santiago de Compostela exenciones a la contribución sobre la renta en vez de indulgencias, no habría trenes suficientes en España para trasladar a tantos peregrinos.
Postion	Tokenization
1	Si
2	el
3	25
4	de
5	julio
6	dieran
7	en
8	Santiago
9	de
10	Compostela
11	exenciones
12	a
13	la
14	contribución
15	sobre
16	la
17	renta
18	en
19	vez
20	de
21	indulgencias
22	,
23	no
24	habría
25	trenes
26	suficientes
27	en
28	España
29	para
30	trasladar
31	a
32	tantos
33	peregrinos
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Si	SCONJ	6	mark
2	el	DET	3	det
3	25	NUM	6	obl
4	de	ADP	5	case
5	julio	NOUN	3	compound
6	dieran	VERB	24	advcl
7	en	ADP	8	case
8	Santiago	PROPN	6	obl
9	de	ADP	10	case
10	Compostela	PROPN	8	flat
11	exenciones	NOUN	6	obj
12	a	ADP	14	case
13	la	DET	14	det
14	contribución	NOUN	11	nmod
15	sobre	ADP	17	case
16	la	DET	17	det
17	renta	NOUN	14	nmod
18	en	ADP	21	cc
19	vez	NOUN	18	fixed
20	de	ADP	18	fixed
21	indulgencias	NOUN	11	conj
22	,	PUNCT	6	punct
23	no	ADV	24	advmod
24	habría	AUX	0	root
25	trenes	NOUN	24	obj
26	suficientes	ADJ	25	amod
27	en	ADP	28	case
28	España	PROPN	26	nmod
29	para	ADP	30	mark
30	trasladar	VERB	26	acl
31	a	ADP	33	case
32	tantos	DET	33	det
33	peregrinos	NOUN	30	obj
34	.	PUNCT	24	punct