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:
The state may not favor the convictions of one religious group over another by denying individuals their fundamental right to marry and to have those marriages recognized by civil law.
Postion	Tokenization
1	The
2	state
3	may
4	not
5	favor
6	the
7	convictions
8	of
9	one
10	religious
11	group
12	over
13	another
14	by
15	denying
16	individuals
17	their
18	fundamental
19	right
20	to
21	marry
22	and
23	to
24	have
25	those
26	marriages
27	recognized
28	by
29	civil
30	law
31	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	state	NOUN	5	nsubj
3	may	AUX	5	aux
4	not	PART	5	advmod
5	favor	VERB	0	root
6	the	DET	7	det
7	convictions	NOUN	5	obj
8	of	ADP	11	case
9	one	NUM	11	nummod
10	religious	ADJ	11	amod
11	group	NOUN	7	nmod
12	over	ADP	13	case
13	another	DET	5	obl
14	by	SCONJ	15	mark
15	denying	VERB	5	advcl
16	individuals	NOUN	15	iobj
17	their	PRON	19	nmod:poss
18	fundamental	ADJ	19	amod
19	right	NOUN	15	obj
20	to	PART	21	mark
21	marry	VERB	19	acl
22	and	CCONJ	24	cc
23	to	PART	24	mark
24	have	VERB	21	conj
25	those	DET	26	det
26	marriages	NOUN	27	nsubj
27	recognized	VERB	24	ccomp
28	by	ADP	30	case
29	civil	ADJ	30	amod
30	law	NOUN	27	obl
31	.	PUNCT	5	punct