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:
Soldado en 1944 (¡17 años!), desde su liberación se dedica a la escultura, al grafismo, estudia en Dusseldorf y pasa unos años en París.
Postion	Tokenization
1	Soldado
2	en
3	1944
4	(
5	¡
6	17
7	años
8	!
9	)
10	,
11	desde
12	su
13	liberación
14	se
15	dedica
16	a
17	la
18	escultura
19	,
20	al
21	grafismo
22	,
23	estudia
24	en
25	Dusseldorf
26	y
27	pasa
28	unos
29	años
30	en
31	París
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Soldado	NOUN	0	root
2	en	ADP	3	case
3	1944	NOUN	1	nmod
4	(	PUNCT	7	punct
5	¡	PUNCT	7	punct
6	17	NUM	7	nummod
7	años	NOUN	3	appos
8	!	PUNCT	7	punct
9	)	PUNCT	7	punct
10	,	PUNCT	1	punct
11	desde	ADP	13	case
12	su	DET	13	det
13	liberación	NOUN	1	obl
14	se	PRON	15	expl:pv
15	dedica	VERB	1	acl
16	a	ADP	18	case
17	la	DET	18	det
18	escultura	NOUN	15	obj
19	,	PUNCT	21	punct
20	al	ADP	21	case
21	grafismo	NOUN	18	conj
22	,	PUNCT	15	punct
23	estudia	VERB	15	advcl
24	en	ADP	25	case
25	Dusseldorf	PROPN	23	obl
26	y	CCONJ	15	cc
27	pasa	VERB	1	acl
28	unos	DET	29	det
29	años	NOUN	27	obj
30	en	ADP	31	case
31	París	PROPN	27	obl
32	.	PUNCT	1	punct