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:
Condenó las nuevas constituciones de Austria y Holanda porque abrían espacios a las otras religiones, incluida la judía, cuyos seguidores en Roma seguían viviendo en guetos.
Postion	Tokenization
1	Condenó
2	las
3	nuevas
4	constituciones
5	de
6	Austria
7	y
8	Holanda
9	porque
10	abrían
11	espacios
12	a
13	las
14	otras
15	religiones
16	,
17	incluida
18	la
19	judía
20	,
21	cuyos
22	seguidores
23	en
24	Roma
25	seguían
26	viviendo
27	en
28	guetos
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Condenó	VERB	0	root
2	las	DET	4	det
3	nuevas	ADJ	4	amod
4	constituciones	NOUN	1	obj
5	de	ADP	6	case
6	Austria	PROPN	4	nmod
7	y	CCONJ	8	cc
8	Holanda	PROPN	6	conj
9	porque	SCONJ	10	mark
10	abrían	VERB	1	advcl
11	espacios	NOUN	10	obj
12	a	ADP	15	case
13	las	DET	15	det
14	otras	DET	13	det
15	religiones	NOUN	10	obj
16	,	PUNCT	17	punct
17	incluida	VERB	15	acl
18	la	DET	26	det
19	judía	ADJ	26	amod
20	,	PUNCT	25	punct
21	cuyos	PRON	22	nmod
22	seguidores	NOUN	25	nsubj
23	en	ADP	24	case
24	Roma	PROPN	22	nmod
25	seguían	VERB	17	csubj
26	viviendo	VERB	25	xcomp
27	en	ADP	28	case
28	guetos	NOUN	25	obl
29	.	PUNCT	1	punct