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:
It sounds like your dog may benefit from being hospitalized, and put on IV fluids to help his hydration, administer the antibiotics IV, and to ensure that he starts to recover.
Postion	Tokenization
1	It
2	sounds
3	like
4	your
5	dog
6	may
7	benefit
8	from
9	being
10	hospitalized
11	,
12	and
13	put
14	on
15	IV
16	fluids
17	to
18	help
19	his
20	hydration
21	,
22	administer
23	the
24	antibiotics
25	IV
26	,
27	and
28	to
29	ensure
30	that
31	he
32	starts
33	to
34	recover
35	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	2	expl
2	sounds	VERB	0	root
3	like	SCONJ	7	mark
4	your	PRON	5	nmod:poss
5	dog	NOUN	7	nsubj
6	may	AUX	7	aux
7	benefit	VERB	2	advcl
8	from	SCONJ	10	mark
9	being	AUX	10	aux:pass
10	hospitalized	VERB	7	advcl
11	,	PUNCT	13	punct
12	and	CCONJ	13	cc
13	put	VERB	10	conj
14	on	ADP	16	case
15	IV	NOUN	16	compound
16	fluids	NOUN	13	obl
17	to	PART	18	mark
18	help	VERB	10	advcl
19	his	PRON	20	nmod:poss
20	hydration	NOUN	18	obj
21	,	PUNCT	22	punct
22	administer	VERB	18	conj
23	the	DET	25	det
24	antibiotics	NOUN	25	compound
25	IV	NOUN	22	obj
26	,	PUNCT	29	punct
27	and	CCONJ	29	cc
28	to	PART	29	mark
29	ensure	VERB	18	conj
30	that	SCONJ	32	mark
31	he	PRON	32	nsubj
32	starts	VERB	29	ccomp
33	to	PART	34	mark
34	recover	VERB	32	xcomp
35	.	PUNCT	2	punct