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:
Jacques Stromza, el violinista de Auschwitz, regresó a Polonia a sus 80 años, procedente de Israel, para hacer hacer sonar su música junto al portalón del Campo de la Muerte.
Postion	Tokenization
1	Jacques
2	Stromza
3	,
4	el
5	violinista
6	de
7	Auschwitz
8	,
9	regresó
10	a
11	Polonia
12	a
13	sus
14	80
15	años
16	,
17	procedente
18	de
19	Israel
20	,
21	para
22	hacer
23	hacer
24	sonar
25	su
26	música
27	junto
28	al
29	portalón
30	del
31	Campo
32	de
33	la
34	Muerte
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Jacques	PROPN	9	nsubj
2	Stromza	PROPN	1	flat
3	,	PUNCT	5	punct
4	el	DET	5	det
5	violinista	NOUN	1	appos
6	de	ADP	7	case
7	Auschwitz	PROPN	5	nmod
8	,	PUNCT	5	punct
9	regresó	VERB	0	root
10	a	ADP	11	case
11	Polonia	PROPN	9	obl
12	a	ADP	15	case
13	sus	PRON	15	nmod
14	80	NUM	15	nummod
15	años	NOUN	9	obl
16	,	PUNCT	17	punct
17	procedente	ADJ	9	advcl
18	de	ADP	19	case
19	Israel	PROPN	17	nmod
20	,	PUNCT	17	punct
21	para	ADP	22	mark
22	hacer	VERB	9	advcl
23	hacer	VERB	22	dep
24	sonar	NOUN	22	xcomp
25	su	DET	26	det
26	música	NOUN	22	obj
27	junto	ADJ	29	case
28	al	ADP	27	fixed
29	portalón	NOUN	22	obl
30	del	ADP	31	case
31	Campo	PROPN	29	nmod
32	de	ADP	34	case
33	la	DET	34	det
34	Muerte	PROPN	31	nmod
35	.	PUNCT	9	punct